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AI Research Radar

July 3–9: 14 frontier papers out of 1,763 read.

14 frontier130 cleared1,763 papers read

Frontier

Papers rated as moving the field

How we choose

Office Comprehension Benchmark

“Even the strongest frontier system in its default reasoning mode reaches only about 59.3% on Domain Q increasing thinking depth within a tier does not move performance materially, while moving to a higher product tier yields modest gains.”

The authors, in the abstract

MicrosoftBenchmarkarXivPDF

IsoSci

“Across five model pairs spanning four model families, we find that 91.3% of reasoning-mode gains are knowledge-dependent rather than structure-invariant (63/69 gains; Wilson 95% CI [82.3%, 96.0%]), directly challenging the assumption that chain-of-thought reasoning improves short-horizon procedural scientific problem-solving.”

Benchmark

Auto

“The same stream also quantifies the failure modes: a loose guard silently mislabels 48.9% of compiled answers, and an unfaithful deopt reference causes the verification gate to refuse recompilation.”

Governed Individuation

“An adversarial evaluation of monitors of increasing semantic depth shows false-allows falling from 75% (name-based gating) to zero (dynamic effect tracing), and refusal history transfers compliance to held-out red-line families.”

Your Agent's Memories Are Not Its Own

“Our evaluation also shows that SENTINEL reduces FARMA's attack success rate to as low as 0% with no false positives observed across 326 benign agent traces.”

MMBench-Live

“Extensive evaluations show that MMBench-Live preserves stable model rankings, maintains semantic alignment with the original benchmark, and exhibits weaker contamination-related memorization signals, suggesting a practical and scalable paradigm for sustainable multimodal benchmark evolution.”

BenchmarkCode

WebRetriever

“Extensive experimental analysis reveals substantial performance disparities across evaluation protocols, demonstrating that navigation success alone is an insufficient predictor of real-world application effectiveness.”

Benchmark

More Convincing, Not More Correct

“We show it fails structurally: conditioned on a candidate, a judge scores plausibility, not correctness, leaving false-positive basins a policy learns to exploit.”

The week by field

Jul 3–9: 130 cleared, 14 frontier

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

Models under test

Papers this week that name the model

  1. GPT-4o mini2
  2. GPT-4o2
  3. Gemini 3.5 Flash1
  4. Nemotron 3 Super1
  5. Claude Sonnet 4.61
  6. Kimi K2.51
  7. Mistral 7B1
  8. o3-mini1

Labs publishing

Papers this week with an author at the lab

  1. Microsoft7
  2. Meta3
  3. Alibaba2
  4. Amazon2
  5. DeepSeek1
  6. Google1
  7. NVIDIA1

Also cleared

116 papers

All 116 papers