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VECTOR WIREAI INTELLIGENCE
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AI Research Radar

July 8–14: 12 frontier papers out of 1,757 read.

12 frontier147 cleared1,757 papers read

Frontier

Papers rated as moving the field

How we choose

Minionese

“We show that each attack type produces a distinct vulnerability profile: transliteration vulnerability is mediated by script identity, code-switching maintains effectiveness through the lowest-resource tier, and a sharp safety regime transition between Tiers 2 and 3 is consistent across all models.”

The authors, in the abstract

Comprehensive Benchmark and Mechanistic Study of Multilingual LLM Safety

BenchmarkarXivPDFCode

CORE-Bench

“Experiments with representative embedding models show a sharp drop from traditional code search to code retrieval in agentic coding settings.”

Benchmark

SLVMBench

“Evaluations on state-of-the-art proprietary and open-source video LLMs show that video-LLMs struggle substantially with learning and applying skill knowledge from videos.”

Benchmark

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 8–14: 147 cleared, 12 frontier

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

Models under test

Papers this week that name the model

  1. GPT-53
  2. Gemini 3.5 Flash2
  3. Claude Sonnet 4.62
  4. Claude 3.7 Sonnet2
  5. Kimi K2.62
  6. GPT-4.12
  7. Gemini 3.1 Pro2
  8. Gemini 2.5 Flash2

Labs publishing

Papers this week with an author at the lab

  1. Microsoft5
  2. Google3
  3. Alibaba2
  4. Amazon2
  5. NVIDIA2
  6. Tencent2
  7. Anthropic1
  8. Meta1

Also cleared

135 papers

All 135 papers