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Total papers: 40 Search mode: keyword Shortlist (0) RSS

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$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu · Mar 4, 2026

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 83% High protocol signal Freshness: Warm Status: Fallback
Pairwise Preference Automatic Metrics MathCoding
  • On code generation (LiveCodeBench, CodeContests, SWE-Bench) and math reasoning (AIME, HMMT) benchmarks, V_1-Infer improves Pass@1 by up to 10% over pointwise verification and outperforms recent test-time scaling methods while being…
Open paper
TriAttention: Efficient Long Reasoning with Trigonometric KV Compression

Weian Mao, Xi Lin, Wei Huang, Yuxin Xie, Tianfu Fu, Bohan Zhuang · Apr 6, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 45% Moderate protocol signal Freshness: Hot Status: Ready
Pairwise Preference Automatic Metrics Law
  • Via the trigonometric series, we use the distance preference characterized by these centers to score keys according to their positions, and also leverage Q/K norms as an additional signal for importance estimation.
Open paper
Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 45% Moderate protocol signal Freshness: Hot Status: Ready
Critique Edit Automatic Metrics Medicine
  • Large language models (LLMs) have achieved strong performance on medical question answering (medical QA), and chain-of-thought (CoT) prompting has further improved results by eliciting explicit intermediate reasoning; meanwhile,…
  • In this work, we conduct an exploratory analysis of self-reflective reasoning for medical multiple-choice question answering: using GPT-4o and GPT-4o-mini, we compare standard CoT prompting with an iterative self-reflection loop and track…
Open paper
Dual Optimal: Make Your LLM Peer-like with Dignity

Xiangqi Wang, Yue Huang, Haomin Zhuang, Kehan Guo, Xiangliang Zhang · Apr 1, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% Sparse protocol signal Freshness: Hot Status: Fallback
Pairwise Preference Law
  • Realizing this agent requires overcoming significant challenges in data supervision, objective collapse, and evaluation bias.
  • We address these issues by introducing the PersonaKnob dataset which features a compositional partial order structure of multiple persona preference.
Open paper

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