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Total papers: 5 Search mode: keyword Ranking: eval-signal prioritized Shortlist (0) RSS

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Match reason: Keyword overlap 3/3 across title and protocol fields. Eval-signal density: high protocol signal.

Score: 93% High protocol signal Freshness: Warm Status: Ready
Demonstrations Llm As Judge General
  • LLM evaluations drive which models get deployed, what safety standards get adopted, which research conclusions get published, and how projections of AI's labor-market impact get made.
  • Using Chatbot Arena data, we show naive 95\% CI coverage drops as n grows while TEE-corrected coverage holds at 95\%, and TEE-guided pipelines restrict the benchmark gaming surface from 56 to 32 Elo (K=27), below the human-leaderboard…
Open paper
Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation

Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah, Omkar Patil, Thao Nguyen, Nakul Gopalan · Mar 19, 2026

Citations: 0

Match reason: Keyword overlap 2/3 across title and protocol fields. Eval-signal density: high protocol signal.

Score: 78% High protocol signal Freshness: Warm Status: Ready
Demonstrations Simulation Env Multi Agent General
  • To address this limitation, we propose MAPG (Multi-Agent Probabilistic Grounding), an agentic framework that decomposes language queries into structured subcomponents and queries a VLM to ground each component.
  • We evaluate MAPG on the HM-EQA benchmark and show consistent performance improvements over strong baselines.
Open paper
CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation

Faria Huq, Zora Zhiruo Wang, Frank F. Xu, Tianyue Ou, Shuyan Zhou, Jeffrey P. Bigham · Jan 28, 2025

Citations: 0

Match reason: Keyword overlap 3/3 across title and protocol fields. Eval-signal density: high protocol signal.

Score: 88% High protocol signal Freshness: Cold Status: Fallback
Pairwise PreferenceDemonstrations Automatic Metrics Web Browsing General
  • We propose CowPilot, a framework supporting autonomous as well as human-agent collaborative web navigation, and evaluation across task success and task efficiency.
  • We conducted case studies on five common websites and found that the human-agent collaborative mode achieves the highest success rate of 95% while requiring humans to perform only 15.2% of the total steps.
Open paper
SPACeR: Self-Play Anchoring with Centralized Reference Models

Wei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, Yihan Hu · Oct 20, 2025

Citations: 0

Match reason: Keyword overlap 2/3 across title and protocol fields. Eval-signal density: moderate protocol signal.

Score: 68% Moderate protocol signal Freshness: Cold Status: Ready
Demonstrations Simulation Env Multi Agent General
  • Developing autonomous vehicles (AVs) requires not only safety and efficiency, but also realistic, human-like behaviors that are socially aware and predictable.
  • Achieving this requires sim agent policies that are human-like, fast, and scalable in multi-agent settings.
Open paper
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

Yuanfu Wang, Zhixuan Liu, Xiangtian Li, Chaochao Lu, Chao Yang · Feb 12, 2026

Citations: 0

Match reason: Keyword overlap 2/3 across title and protocol fields. Eval-signal density: sparse protocol signal.

Score: 63% Sparse protocol signal Freshness: Warm Status: Fallback
Demonstrations MathCoding
  • The prevailing paradigm for training large reasoning models--combining Supervised Fine-Tuning (SFT) with Reinforcement Learning with Verifiable Rewards (RLVR)--is fundamentally constrained by its reliance on high-quality, human-annotated…
  • This dependency incurs significant data-collection costs, risks embedding human cognitive biases, and confines the reinforcement learning stage to objectively assessable domains like mathematics and coding, leaving a wide range of…
Open paper

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