AI Research Radar

June 23–29: 11 frontier papers out of 2,218 read.

11 frontier185 cleared2,218 papers read

Frontier

Papers rated as moving the field

A-Evolve-Training

“We report an autonomous system that runs this loop with no human in the loop, post-training a 30B Nemotron across four rounds over multiple weeks.”

The authors, in the abstract

Autonomous Post-Training of a 30B Model

AmazonarXiv PDF

HOLMES

“Experiments show that current LLMs still struggle on HOLMES, with an average accuracy of only 50.64% and the best model reaching 59.54%.”

Code

OTTER

“Evaluated on 457 AdvBench prompts across four GPT models, OTTER raises average ASR from 7.0% to 84.0%.”

Safety in Self-Evolving LLM Agent Systems

“Comparative case studies of two open-source frameworks demonstrate that evolution-native design activates 3.5× more attack surface cells and achieves a 100% attack persistence rate (40/40 payloads across all CIA+Privacy categories), while co-located security scanners block only 2.5% of attacks.”

Know2Guess

BenchmarkCode

From Sounds to Scenes

“Experiments across multiple LALMs demonstrate that effective auditory scene understanding requires integration over all auditory layers, rather than reliance on speech or sound alone, underscoring the necessity of CASU for advancing complex audio understanding in LALMs.”

Benchmark

The week by field

Jun 23–29: 185 cleared, 11 frontier

The week’s papers have not been sorted into fields yet.

Models under test

Papers this week that name the model

Labs publishing

Papers this week with an author at the lab

Also cleared

174 papers

All 174 papers

SIGNIFICANT ON THE BOARDS

MODEL TRACKER2,647 new benchmark results across 174 models this week DEAL FLOW$158.1B disclosed AI funding this week across 62 rounds POLICY126 policy events tracked across 7 days