Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

AI Research Radar

August 15–21: 9 frontier papers out of 1,886 read.

9 frontier157 cleared1,886 papers read

Frontier

Papers rated as moving the field

How we choose

StartupBench

“Our results reveal that many market-validated workflows remain beyond the reliable capabilities of current general-purpose agents, establishing StartupBench as an empirical measure of progress toward E2E completions of real-world user tasks.”

The authors, in the abstract

Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows

ByteDanceBenchmarkarXivPDF

Debate Training Reduces Reward Hacking in RLAIF

“We show that critique word limits (effective up to 150 words) successfully balance the game and avoid judge hacking, though this introduces a trade-off by restricting critic expressive clarity.”

Google

Practice Makes Unsafe

“Across representative skill evolution methods, SafeEvolve reduces unsafe retrieval and fresh-session harm by 26.7 and 17.3 percentage points, respectively, while mean benign utility changes by only 0.4 points.”

Omni-LiveAvatar

“Extensive experiments show that Omni-LiveAvatar generates high-quality, synchronized minute-level avatars in real time.”

The week by field

Aug 15–21: 157 cleared, 9 frontier

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

Models under test

Papers this week that name the model

  1. GPT-5.43
  2. GPT-5.6 Sol3
  3. Claude Sonnet 4.62
  4. GPT-5.52
  5. GPT-4o mini2
  6. GPT-4o2
  7. GPT-5.6 Luna1
  8. Gemma 4 E2B1

Labs publishing

Papers this week with an author at the lab

  1. Google4
  2. Meta4
  3. Tencent3
  4. Microsoft2
  5. NVIDIA2
  6. Alibaba1
  7. ByteDance1
  8. IBM1

Also cleared

148 papers

All 148 papers