Infrathon
Claude Opus 5.5 raises the mean KV-cache compression ratio from 6.82% with the human-designed Quant-VideoGen codec to 19.86%.
Benchmarking Language Agents for Real-World, Long-Horizon AI Infra Optimization
AI Research Radar
November 4–10: 17 frontier papers out of 2,329 read.
Frontier
Papers rated as moving the field
How we chooseFrontierPhysics
On FrontierPhysics, no AI configuration among 26 passes more than 46 of 168 end-to-end physics research rollouts.
When Experience Becomes a Backdoor
BadEvolve demonstrates effective task-level backdoor attacks on self-evolving LLM agents across diverse frameworks, benchmarks, and backbone LLMs.
Frontier3DBench
GPT-6.1-sol achieves the highest overall score of 66.02/100 on Frontier3DBench, while all 11 configurations struggle with reference reconstruction.
Mitigating Agentic Deception via Evaluation-Side Partially Observable Games
e-PoG outperforms the strongest baselines by 26.0% in deception mitigation and by up to 39.8% in task success.
Jais 3
Jais 3 matches or outperforms open-weight models of comparable size on Arabic and agentic benchmarks with fewer hallucinations.
Explaining and interrupting collective misalignment in language model systems
Collective Dependence Analysis reduces violations from 93% to 6% in controlled cases using O(N) model evaluations.
Compass 1
Compass 1 achieves a 79.4% overall success rate in open-world embodied navigation, versus 17.8% for the strongest baseline.
Shortcuts and Boundaries
A binary compliance penalty raises safe completion on 32 unseen changing-evidence tasks from 53.1% to 89.1% while both policies achieve full real work.
Meituan-Robotics-0
Meituan-Robotics-0 achieves 93.6% success on RoboTwin 2.0 and outperforms π0.5 on three real-robot tasks.
Authorization Drift in LLM Agents
Frontier-capable LLM agents exhibit authorization drift rates of 0.43 to 0.61 across 13 models and three frameworks.
Multi-step SWE
On the Multi-step SWE benchmark, the strongest of nine frontier models solves only 18.5% of 69 tasks.
A Behavioural Framework for Predicting and Understanding Loss of Control in Frontier Artificial Intelligence Systems
A behavioural framework's loss-of-control score correlates with failure rates in contained long-horizon risk scenarios across 13 frontier models (Pearson r = 0.84).
Voluntary Servitude
“We measure this at the generation stage across six models and ten consumer-service domains, for three attack families, and show that it transfers to production browser agents, outperforming instruction injection, and to a retrieval pipeline (1.0-57.0% end-to-end success, depending on the retriever).”
BrainwashedLLM
BrainwashedLLM achieves ASR@5 between 0.74 and 0.98 across four state-of-the-art LRMs without querying targets during attack construction.
BEAKER
“Results show that current models can follow coarse experimental procedures in videos, but still struggle to ground actions into operable regions and feasible trajectories, to recognize fine-grained laboratory apparatus, states, and safety norms, and to order steps in mid-length procedures.”
PrimeSim
PrimeSim leads four of five WorldSimProbe suites and posts the best overall EWMBench score against five open-source action-conditioned world models.
The week by field
Nov 4–10: 282 cleared, 17 frontier
- Security93◆ 4
- Agents42◆ 6
- Safety38◆ 4
- Society27
- Inference26
- Robotics22◆ 3
- Vision14
- 4 moreScience, Training, Reasoning, ML14
- Language6
- Security93◆ 4
- 8 moreInference, Robotics, Vision, Language, Science, Training, Reasoning, ML82◆ 3
- Agents42◆ 6
- Safety38◆ 4
- Society27
Size: cleared papers◆ and tint: frontier papers
Models under test
Papers this week that name the model
Labs publishing
Papers this week with an author at the lab
Also cleared
265 papers, by field
Security & privacy89
- MetaPI: Constructing Prompt Injection Benchmarks from LLM Agent BenchmarkNVIDIA
- zkARc: Succinctly Verifiable Proofs for Neurosymbolic Natural Language Formalization and VerificationAmazon
- Scaling Adaptive Prompt Injection Attacks with Agent SwarmsGoogle
- XposedMIA: Exploiting Explainable Artificial Intelligence (XAI) for One-Shot Membership Inference AttacksIBM
- MemoryDojo: Benchmarking Poisoning Through LLM Agent MemoryMicrosoft
All 89 papers in Security & privacy
- Decision Models as Retrieval Gates Against Injection and PollutionGoogle
- The Web Doesn't Sit Still: Adversarial Self-Evolving Attacks on Search AgentsAlibaba
- DiffusedSplitFed: Latent Diffusion-based Obfuscation for Reconstruction-Resilient Split Federated Medical Image SegmentationCode
- BAPLe++: Cross-Model Transferability and Prompt-Level Defense of Backdoors in Medical Foundation ModelsCode
- Beyond Bit Matching: Orthogonal Watermarks for Collusion-Resistant Image FingerprintingCode
- MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice ProtectionCode
- RL-ATTACK: A Generalized Black-Box Adversarial Attack on Language Models via Reinforcement LearningCode
- Forget What Comes Next: LLM Unlearning via Statistical IndependenceCode
- SecureGARD: Dynamic Ontology-Guided Governance for Secure Tool-Using LLM Agents
- Toward Safety-Aware AI Agents in Realistic Social Engineering Attack Scenarios
- Governed Self-Improvement for a Local-First Security Analyzer: Baseline Measurements and a Preregistered Evaluation Protocol for Tantular Cyber
- Bayesian Low-Rank Posteriors for Scalable Membership Inference
- PrivMark: Pixel-Space Steering against Privacy Leakage in Vision-Language Models
- EgoVeil: Personalized Privacy Reasoning for Egocentric Video
- MGE: A Membership Guided Data Extraction Attack against Diffusion Models
- CyberBinGym: Can AI Agents Turn Binary Patches into Real Exploits?
- Mirage: Provable Defense Against LLM KV Cache Timing Side Channels with Topology-Aware Isolation
- The Devil Wears Markdown: Detecting Malicious Intent Hidden in AI Agent Skill Instructions through Hybrid Static, Dynamic, and Agentic Analysis
- Agents of Chaos: A Systematization of Knowledge (SoK) on Malicious Attacks on Agentic AI Systems
- Validating AI-Discovered Cloud Threats on Live Infrastructure: A Multi-Model, Multi-Cloud Study
- Beyond AUROC: Deployment-Aware Evaluation of Model-Internal Jailbreak Detectors
- Tracing MCP Security Vulnerabilities: Constructing and Analyzing an MCP Security Vulnerability Dataset
- A Layer-wise Study of How Style Rewriting Breaks the Calibration of Zero-Shot LLM Fake-News Detectors
- Chatter Attack: Resource Consumption Attack for Large Language Models
- Least-Privilege Auditing of Agent Tool Calls with Intent Graphs and Reasoning-Guided Escalation
- SkillCODER: Towards Auditing and Attribution of Copyright Infringement in LLM Agent Skills
- RoCoMark: Robust Code Watermarking Against LLM-Based Functionality-Preserving Rewriting Attacks
- When Coding Agents Get Arms: Safety Risks Across the Digital-Physical Boundary
- Coding Agents Propagate Vulnerabilities in Code Bases
- On the Relative Security of Prompt Injection: Mechanised Definitions, Defences and Verdicts for LLM Agents
- Data Manipulation Attacks Against Machine Learning Integrated Cyber-Physical Systems
- PRISM: Causal Counterfactual Minimization of Agent Tool Privileges via Information Bottleneck Role Induction
- Treating the Model as an Untrusted Component: Deterministic Policy Enforcement, Human Approval and Taint Tracking Against Prompt Injection in Tool-Using Agents, with Validation on Open-Weights Models
- ShadowBench-MCP: Measuring Shadow Invocations in MCP-Style Tool Routing
- Ultrasound-Assisted Biometric Watermarking Against Face Video Deepfakes
- VeilTune: Secure Fine-Tuning of Private LoRA Adapters on Public Pretrained Language Models
- FALC: An Artifact-Centric Life Cycle Model and Research Agenda for AI Forensics
- StealthyPoison: Manipulating LLM Agent Behavior through Procedural Poisoning of Third-Party Skills
- SNAPRAG: Cost-Efficient Knowledge Extraction Attack on RAG Systems via Adversarial Perturbations
- Detecting Shadow AI: Unsanctioned LLM Agents on Enterprise Endpoints: A Taxonomy, an Open Detector and a Controlled Evaluation
- Say Shibboleth: Fingerprinting the LLMs and Harnesses Behind Agentic Attacks
- Suppression Is Not Erasure: Mechanistic Analysis and Reactivation Boundaries of Subspace Projection for LoRA Backdoor Defense
- I Don't Care How You Hide It, I Care What You Do: Runtime Detection of Malicious ML Models
- AttentionSwitch: Jailbreak Defense for LLMs via Joint Learning of Sparse Attention-Head Selection and Scaling
- Debate to Deceive: Poisoning LLM's Fact-Checking via Game-Theoretic Multi-Agent Debate
- Conflux: Preventing Privilege Escalation with Principal Contexts and System-Level Evaluation
- I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning Agents
- Notwithstanding Anything to the Contrary, Ignore All Instructions: Measuring Prompt Injection Guards on Legal Contract Review Attacks
- Reconstructing LLM Lineage Trees via Fine-Tuning Path Inference
- NotaryMark: Multi-Bit Watermarking for Black-Box DatasetUsage Auditing in Text-to-Image Diffusion Models
- GreyZone: Production-quality Agentic Application Threats
- AUTEUR: Acoustic Plan Learning for Red-Teaming Text-to-Audio Models
- Logit Laundering: Evading Data-Use Auditing in Large Language Models
- ReplayAudit: Auditing Outsourced LLM Fine-Tuning via Sealed Records and Selective Replay
- GuardrailAgent: An Agentic Framework for Jailbreak Defense
- Interactive Backdoor Attacks in LLM-Based Proactive Dialogue Systems
- SPILLWAY: Separating Target Admission from Sanitization to Defend Tool-Using Agents against Prompt Injection
- Breaking TraintoDefend via Adaptive Neuron Clustering in Cryptanalytic Model Extraction
- Dynamic Watermarking and Action-Conditioned Latent Dynamics for Secure Vision-Based Controllers
- JailBound: FOL-Guided Jailbreak Evaluation for Exploring LLM Behavioral Boundaries
- Embedding-Space Fingerprinting of LoRA Fine-Tunes: Recovering the Training-Data Domain from the Model Artifact Alone
- A Gingerbread House for LLM Agents: Source-Planned Honeypots That Lure Autonomous Attackers into an Isolated Shadow
- What the Middleman Delivers: Answer Behavior, Tool Permissions, and Billed Usage in LLM API Relays
- An Information Bottleneck for Post-hoc Memorization Mitigation in LLMs
- The Promise of Strategic Agentic Scambaiting
- Escalate or Close: How Fast-Tier Models Handle Held-Out Web Attack Families in Two-Tier Triage
- Timing is Everything: Inferring Temporal Membership in Continually Updated Models
- Enforcing Accountable Disclosure in Confidential AI
- Reconciling Privacy with Provenance for Language Model Watermarks
- CoRTeC: A Differentially Private Release for Synthetic Tabular Data, Decodable by Any Generator
- A Bag of Tricks for Defending Deep Learning-based Face Recognition Pipelines against Backdoor Attacks
- Signed but Steerable: Measuring and Closing the Text-Vector Integrity Gap in Offline Retrieval-Augmented Generation
- Signed, Sealed, Leaked: Trust Beyond Signature for MCP Toolchains
- JevBreak: Your Model, Their Decision
- RuntimeTickets: Source-Grounded Security Obligations for Agent Skills
- Towards Effective Fuzzing of EDK2 Components
- ScrambleMark: Zero-Query Watermark-Agnostic Black-Box Evasion of Modern Speech Watermarking
- DoGNAVY-Exploit: Harnessing Parallel Open-Weight Agents for Stage-Aware Vulnerability Exploitation
- CloakFEM: Agentic FEM Code Generation for Red-Teaming Computational Resource Exhaustion
- Perseus: A Full-Stack System for Homomorphic Model Inference
- Right Tool, Wrong Parameters: Defending LLM Agents Against Parameter Poisoning
- Proving the Wrong Program: Miscompilations as a Threat to zkVM Guarantees
- Extracting System Prompt of LLM Services in Complex (Agentic) Settings: Hierarchical Optimization and Reliable Evaluation Metrics
- The Pen is Mightier than the Pixel: Natural Textual Unlearnable Example for Large Vision Language Models
Agents36
- Flex-RSI: Benchmarking Recursive Self-Improvement of Frontier AgentsNVIDIA, IBM
- The Memory Trap: Language Agents Overgeneralize from Benign InteractionsAnthropic
- From Handcrafted to Generative: RLVR-Optimized Icon Generation for Alexa+Amazon
- Toward User-Centered Agentic Recommendation: When Does Platform Competition Benefit Users?Tencent
- Learnings and Pitfalls from AI-Assisted A/B Experimentation at ScaleMeta
All 36 papers in Agents
- TactiNavi: Serving and Revising an LLM Game Coach with Explicit Strategy ConditionsTencent
- VIVID: Bringing Tool-Augmented Agents into Enterprises
- Done Is Not Correct: Measuring Silent Failures and Self-Verification Calibration When LLM Agents Take CAD Actions
- Safe by Accident: Crash-Testing LLM-Written Code
- DeepFinance: Can AI Diligence a $100MM Deal?
- GARP: Real-Time Generative Agents on Local Hardware in a Game Engine
- LoMASA: A Local Multi-Agent Sales Assistant with Confidence-Gated Delegation for B2B Quoting
- ScrapeBench: Evaluating Legal Compliance of AI Agents in Website Scraping
- MIRIX-2.0: Multi-Agent Memory System
- Aegis OS: A Transactional Multi-Tenant Operating System Runtime for Eliminating Authorization Fatigue in Autonomous Coding Agents
- Decision Context: Persistent Behavioral Learning for AI Agents
- Enabling Privacy-Preserving Natural Language Access to Industrial Smart Meter Data
- A Multi-Modal Robotic Framework for Physical GUI Interaction Testing
- KG-AST for Cheaper CI/CD: Budgeted Test Selection and AI Bug Review
- The Last Mile to the Real World: Agent-Native Primitives as Reusable Building Blocks for Solving Real-World Tasks
- Signed but Not Safe: Requirement Integrity in Multi-Agent LLM Handoffs
- DelegateEval: Evaluating Platforms for Personal External Service Agents
- Don't Prompt Your Agents. Equip Them: Skillware as a Modular Standard for Sovereign, Auditable, and Deterministic Capability Execution for Logical Systems
- Accepted but Wrong: Silent Failures of LLM Code Repairs after API Migrations
- Benchmarks as Software: Terminal-Bench and the Case for Continuous Benchmarks
- Agentic Behavior Engineering: A Design-by-Contract Methodology for Specifying, Verifying, and Governing Enterprise AI Agents
- Anduin: A sybil-resistant agentic marketplace reputation system
- ViBench 2.0: A Benchmark for Long-Horizon Software Building
- The Harness Is the Model: Agent Scaffolding Changes a Fixed LLM's Compliance with Banking Conduct Rules, Unevenly Across Models
- LifeVal: Evaluating AI Model Performance on Personalized Agentic Consumer Tasks
- Visual Token Routing: Learning to keep tokens that matter
- LOLPlay: Benchmarking Real-Time Visual Agents in League of Legends
- EMBERS: Empirically Motivated Robustness Testing of Deep Research Systems via Defect-Guided Fuzzing
- Permitted but Unauthorized: Affordance-Induced Delegated-Scope Violations in Multi-Agent LLM Systems
- Kierston & KierstonBench: Simulation of Allentown, PA and Evaluation of Language Models in Crime Investigation and Surveillance Tasks
- You don't need long context
Safety & alignment34
- Double Blind Evals: Resolving the Dual Confidentiality Dilemma in AI Safety AuditingGoogle
- Designing Effective Monitor-Based Interventions for Mitigating Reward Hacking During RLGoogle
- Enmo Safety: External, Non-invasive, Model-agnostic Oversight for Off-the-Shelf Language ModelsCode
- Where Did the Update Go? Certifying Declared Change Envelopes for Model UpdatesCode
- Inter-Agent Influence: Evaluating Persuasion, Deception, and Coercion in Multi-Agent SystemsCode
All 34 papers in Safety & alignment
- Personalized Alignment of Language Models with Human Value Profiles
- A Model Organism for Studying Unverbalized Evaluation Awareness
- META-IR: Meta-Introspective Reasoning for Adaptive Safety Alignment in LLM
- Restoring General and Improving Domain-Specific Safety in Fine-Tuned LLMs Without Retraining
- Coding or Cheating? An Investigation of Frontier Coding LLMs
- What Do Collusion Probes Read? Three Pitfalls in Evaluating Multi-Agent Collusion Monitors
- Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories
- R-BED: A Consequence-Aware Framework for System-Level AI Evaluation and Continuous Assurance
- When Safety Becomes An Outlier: Understanding the Retention of LLM Safety Behaviors
- System Prompts Affect Response Bias More Than Discriminability in LLM Safety
- ErosionBench: Probing Alignment Decay in Enterprise Multi-Agent Systems
- Safeguarding Agentic AI in Radiology Workflows: A Multimodel Evaluation of Rule-based and Large Language Model-based Verification
- FraudBench: A Legal Evaluation of AI Deception
- Can the Confidence and Decisions of System 1 Models Be Trusted? An Explainability and Perturbation Audit of Jev-Style Decision Models
- Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP
- Guardrail Erosion in Domain Fine-Tuned Large Language Models: A Paired Audit of Knowledge-Centric Abstention in Biomedical LLMs
- Aligning, Fast and Slow: A Control-Theoretic Oversight Framework for Long-Horizon Trajectories and Maintained Deployments
- BMMS: Policy-Conditioned Measurement of Behavioral Compliance in Language Models
- Goodhart in the Planner: Sampling-Based Control Exploits Rewards Learned from Human Preferences
- Compositional Unalignment: Auditing Safety in Large Vision-Language Models
- Provable Zeroth-Order Safe Exploration for Reinforcement Learning from Human Feedback
- Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment
- SafeStart: Mitigating the Overlooked Safety Cost of Active Expert Reduction in MoE LLM Serving
- Does Context Compression Preserve Refusal Alignment?
- Addition by Subtraction: Toward Mitigating Fragile Safety Alignment in Large Language Models
- Neologism Inoculation Prompting
- When Debate Amplifies Risk: Social-Bias Vulnerabilities in Multi-Agent Safety Deliberation
- Can Benign Skills Induce Misaligned Behavior in LLM Agents?
- LatentTriad: Pre-Action Risk Representations for Malicious Agent Skill Detection
AI & society27
- Are LLM Assistants Regulatory Ready? Answers from regenold's 2026 EU AI Act Q&A ChallengeCode
- FAIDER: Fairness-Aware Item-Level Decoding for Large Language Model Recommenders
- Policy Over Purpose: Auditing LLM Content Moderation of Reclaimed Slur Usage
- Too Big to Inspect? Ethically Auditing Large Datasets Through Small Samples
- Behavioral Evaluation of Large Language Models Under Cognitive Biases in HAZOP Studies
All 27 papers in AI & society
- Measuring Generative AI Content in Political Campaigns: Evidence of Rising Adoption and Non-Disclosure
- State Media at Retrieval Time: A Large-Scale Audit of Russian State-Aligned Sources in AI Chatbot Responses
- CHO-Bench: How Do Context Hints Affect Ad Rankings in LLM Advertising?
- Detecting AI-Authored Text in Authentic Student Writing: Evidence from PISA 2025
- Fairness in Explainable AI Narratives: Decomposing Social Disparities in LLM-Generated Explanations
- Curbside Chatbots: Auditing the Mental Health Interventions Large Language Models Recommend to Clinicians, Caregivers, and Patients
- Same Facts, Different Remedy: Linguistic Profiling and Arbitrariness in LLM and System One Decisions
- What to Delegate, What to Preserve: Human Preferences for Agentic AI Across Everyday Life and Work
- Strategic Competition and Convergence in LLM Leaderboards
- Reweighting is not Harmless: Understanding the Role of Dataset Characteristics
- Adversarial Multiplicity: Cherry-Picked Models and the Limits of Disclosure
- The Popular Get More Popular: Auditing Brand Bias in Generative Search
- Responsible GenAI Use During Active Armed Conflict: Evidence from Sudan's Emergency Response Rooms
- Who Can Evaluate AI Independently? A Framework for Analysing Evaluation Infrastructure
- Just the Facts: How Dialogues with AI Reduce Conspiracy Beliefs
- Does Frontier AI Strengthen Cyber Defense? Evidence from Project Glasswing
- Beyond accuracy: what AI assurance needs to establish in public services
- Thinking Fast, Trading Late: System One Decision Models vs the Market
- Whose startup does the AI back? An algorithm audit of reputation and demographic signals in LLM-assisted crowdfunding
- AdSteer: Native Advertising in Large Language Model Generation
- Palimpsestic Accountability in the US Federal AI Inventories
- Fast, Cheap, and Fair? Evaluating Decision Models
Inference & efficiency26
- BitDecoding-FP4: Native FP4 KV Cache Decoding via Algorithm-System Co-DesignTencentCode
- AutoEMatic: Runtime-Adaptive Mixed-Precision LLM Inference via Automatic Exponent-Mantissa RefinementNVIDIA
- Multi-GPU MoE Inference with Adaptive Expert OffloadingMicrosoft
- PACE: Keeping the Right Tokens in the KV Cache Is Not Enough for Long-Horizon LLM AgentsAmazon
- BridgeKV: Large-Model Prefill and Small-Model Decoding for LLM Inference via KV Cache TranslationMicrosoft
All 26 papers in Inference & efficiency
- Capital Efficiency, Isolation, Risk, and Ruin in Generative AI Inference Serving InfrastructureMicrosoft
- FastAFD: When Does Attention-FFN Disaggregation Pay on Rack-Scale NVLink?Code
- FlashOffloading: Low-Latency KV Cache Offloading for Long-Context LLM ServingCode
- Ensemble Routing for Prompt-Adaptive Cost-Aware LLM Inference
- Firepool: Brokering Warm GPU Capacity for Agentic and RL Workloads at LinkedIn
- Think or Remember: The Exchange Rate of Agentic Inference
- AutoQS: Automated Quantization Strategy Design with Large Language Models
- Translating KV Caches Between Hybrid-Attention Language Models: MLA Latents, Linear-Attention States and Sparse-Attention Indexers
- System Optimizations for Cost-Efficient Agent Harnesses
- Prune, Don't Merge: Expert Compression of Mixture-of-Experts LLMs on Multilingual Production Tasks
- MNN-Pocket-0.3B Technical Report
- Prediction with Foundation Models under Deployment Budgets
- Inference Validation for Regulated AI: A Governed Decision Pipeline for LLM Serving
- CascadeRec: Deployed Adaptive LLM Compute Allocation for Multi-Tenant Content Recommendation
- AlterNet: Adaptive-Depth Mixture-of-Experts with Learned Halting for Elastic Inference
- AutoCompress: Automated Hardware-Guided Model Compression
- VAR-Q: Tuning-free KV Cache Quantization for Visual Autoregressive Image and Video Generation
- KVGuard: A KV Cache Safety Checker for LLM Serving Systems
- ServerBench: How can your coding agents design specialized LLM serving systems?
- EpiLoRA: Fusing Many LoRA Adapters into Low-Precision GEMMs for Serving and RL
- Say Less, Mean Better: Training-Free Verbosity Control for Language Models
Robotics & embodied AI19
- HARP-Bench: Benchmarking Robot Manipulation Around Active HumansMetaCode
- Interactive World Simulation with Cosmos for Physical AINVIDIACode
- DeltaForge: A Post-hoc Mixture-of-Experts VLA for Multi-Domain Autonomous DrivingNVIDIA
- Open-HumanWAM: An Open Recipe for Scaling Human and Robot Experience for Embodied Foundation ModelsNVIDIA
- MotoVerse: A Benchmark for Predictive Perception of Motorized Two-Wheelers in Dense Unstructured TrafficCode
All 19 papers in Robotics & embodied AI
- From Game Generation to Game Playing: Fully Automated Ability Training for Vision-Language-Action Models
- Breaking survivorship bias in driving world models
- DriveFoundry: Co-Evolving Data and Model for Efficient Closed-Loop Iteration in Autonomous Driving
- Planners Exploit Deterministic Error: Dithered Low-Bit World Models
- Probably Safe Sim-to-Real Transfer with Lifetime Validity
- Can LLMs Debug Robots by Editing Their Weights?
- Spatial-UMI-Dream: Scaling World Action Models with Metric Geometry for UMI Manipulation
- RoboARCade: Benchmarking Agentic Robot Control
- Jev with Foresight: Safe Language-Guided Autonomous Driving via a Language World Model
- AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data
- MABEL: An Open Anthropomorphic Mobile Bimanual Platform for Teleoperation and Learning
- Online Hamilton-Jacobi Reachability Onboard the Robot Control Loop: A Real-Time GPU Solver for Safety-Critical Autonomy
- ActOR: Ambient AI-Based Agentic Orchestration for Humanoid Autonomy in Operating Rooms
- Trusting Imagined Futures: Auditing Imagined Rewards for VLA Post-Training
Vision & multimodal14
- Beyond Real or Fake: A Dual-Channel Authenticity and Reasoning Protocol for Photographic AssessmentGoogle
- Video-Coder: Reinforcing Agentic Coding for Video GenerationMicrosoft
- WeLM-Image: A Unified Image Generation Model towards Visual IntelligenceTencent
- FlowBench: Counterfactual Imagination Training for Spatial IntelligenceCode
- Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time AdaptationCode
All 14 papers in Vision & multimodal
- ScreenProof: Where Is This Screen Wrong? Finding UI Faults Without a Reference
- From Weapons to Events: Evaluating Evidential Support in Multimodal AI for Policing
- Direct Trajectory Optimization for Inference-Time Alignment of Text-to-Image Diffusion Models
- InnerLogic-Surg: An Open Surgical Foundation Model via Continual Pretraining
- When GeoFMs Meet VHR: Benchmarking Foundation Models on Very High Resolution Earth Observation Imagery
- Trick-or-Treat: Adversarial Evaluation of Multimodal Medical Reasoning with Synthetic Images
- NightIQA: A Comprehensive Dataset and Benchmark for MLLM-Based Nighttime Image Quality Assessment
- Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling
- YANAMI: A Large-Scale Multimodal Dataset and Benchmark for Multiturn Stateful Interaction
Language & speech6
- Yuanbao-Reranker: Document-Grounded Synthesis and Preference Distillation for Text RerankingTencent
- Retrofitting Unbounded Context onto Stock Language Models
- M5-TTS: A Mini-Scale Multilingual and Multi-Dialect Text-to-Speech Language Model with Multi-Token Prediction
- LAION-Audio-XL: A Web-Scale Corpus and Scaling Studies for Contrastive Language-Audio Pretraining
- ZeroRAG: Adaptive Semantic Peer Routing for Decentralized Retrieval-Augmented Generation
- How Well Can Large Language Models Impersonate Individual Authors? A Comparative Evaluation
Science & health6
- El Agente Fármaco: A Scalable AI Scientist for Drug DiscoveryNVIDIA
- HyPLM Technical ReportCode
- FAIR Universe Weak Lensing ML Uncertainty Challenge: Dataset and Cosmological Inference Competition
- TrialDesignBench: Benchmarking Language Models for Phase-I Trial Design Against Clinical Knowledge
- How Well Does AI Peer Review Work? A Benchmark Built from 100 Planted Errors
- EnergyBench: a live, gate-aligned benchmark of day-ahead forecasts for European power markets
Training & data4
- Micius-Flash: Lightweight Agentic Intelligence for Engineering
- The Surprising Effectiveness of Deleting Weights in LLM Post-Training
- Learning Noise Optimization for Reward Alignment in Few-Step Generative Models
- Honest Small Decision Models for Finance: Scale, Specialization Collapse, and Mixed-Corpus Remediation