AI Research Radar

Gradient Routing Localizes and Removes Unintended Behaviors in RL

“We demonstrate these benefits in RL environments where reward penalties cause models to learn to reward hack in undetected ways, training models ranging from 135M to 8B parameters.”

Words to World

What the Model Cannot See

LensErase

Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems

“Using post-RL agents from the mid-training setting as sources, we observe propagation through code and shared memory, and across roles through natural-language plans.”

Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents

“Across all evaluated systems and backbones, no system passes more than 1.5% of forget requests end to end, and most pass none at all.”

ChemArgus

“GPT-5.6-Sol scores 23.2% on unassisted whole-problem solving against 28.8% and 30.4% under the two sequential metrics, a gap measuring the integration burden.”

REKI

The 2.4B REKI model sets a Pareto frontier between performance and size, outperformed only by models about twice its size.

The Agent Knew

“On AgentDojo, an external prompt-injection benchmark, the same readout calibrated on 29 tasks, with the steering unchanged, cuts attack success on unseen tasks in two families (Gemma-4 11.7% -> 5.7%, gpt-oss 28.5% -> 17.5%) while keeping benign utility (Gemma-4 0.637 vs 0.637; gpt-oss 0.667 vs 0.681).”

From Research Goals to Scientific Closure

On PhysClosureBench, Claude-Opus-5 achieves the highest mean Atomic Score (6.29/10) but reaches RC4 in only 32.7% of attempts.

DANGERLENS

“Experiments on three Qwen1.5 scales show that checkpoints with prior harmful exposure generally retain greater hazardous concept accessibility after the same safety alignment, with the strongest separation in intermediate and later layers.”

Refuses in Chat, Complies with Arms

“On the physical robot, six models with end-effector control refused 18% of 612 trials against 19% in sim, and three with joint control refused 41% of 252 against 31%.”

Apertus 1.5

“Thinking is a flag of the chat template rather than a separate model, and lifts mathematical reasoning by up to 20 points on the 8B model.”

Copying Is Not Grounding

“Across four models and two in-domain, three held-out corpora, only ASC lowers the error rate of authored sentences and writes more supported ones in every setting, by 38% and 46% at the median under held-out evaluators, giving readers more grounded information.”

CyberArena

X2Real

ClinEdge

EvoWeb

“Further analysis shows that later requests with deeper or more numerous dependencies are solved less accurately, while runtime errors become more frequent over successive requests.”

Pin It on Anyone

“We show an attack technique that allows to alter the watermarking message.”

LLM-jp-4 Technical Report

“Evaluation results demonstrate substantial improvements over previous LLM-jp models and competitive performance against open-weight models of similar scale.”

Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following

“We show that frontier models can receive full credit for responses with little substantive answer content.”

From Training to Escalation

Can agents whose sole duty is to keep humans alive be hijacked to kill? Delayed multi-turn derived-action trap attacks in simulated high-stakes environments

Defence against the dark arts of distillation

AI Models Can Provably Hide Arbitrary Capabilities

“We show this assumption does not hold under adversarial conditions by constructing backdoor attacks that embed encrypted neural networks within host model weights, decrypting and executing them only upon receiving a secret trigger.”