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Human Feedback and Eval Paper Explorer

A focused feed for RLHF, preference data, rater protocols, agent evaluation, and LLM-as-judge research. Every paper includes structured metadata for quick triage.

Total papers: 29 Search mode: keyword Shortlist (0) RSS

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SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation

Gia Huy Thai, Hoang-Nguyen Vu, Anh-Minh Phan, Quang-Thinh Ly, Tram Dinh, Thi-Ngoc-Truc Nguyen · Nov 23, 2025

Citations: 0

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

Score: 75% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics General
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Citations: 0

Match reason: Title directly matches "dice".

Score: 71% Sparse protocol signal Freshness: Cold Status: Ready
Multi Agent General
  • While stereotypes are well-documented in human social interactions, AI systems are often presumed to be less susceptible to such biases.
  • Previous studies have focused on biases inherited from training data, but whether stereotypes can emerge spontaneously in AI agent interactions merits further exploration.
Open paper
Citations: 0

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

Score: 68% Sparse protocol signal Freshness: Cold Status: Ready
General
  • We discuss how speaker effects serve as indices for assessing language development and social cognition, and we encourage future research to extend these findings to the emerging domain of artificial intelligence (AI) speakers, as AI agents…
Open paper
RePo: Language Models with Context Re-Positioning

Huayang Li, Tianyu Zhao, Deng Cai, Richard Sproat · Dec 16, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Ready
Coding
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Ready
Long Horizon General
  • AI Scientific Assistant Core (AISAC) is a transparent, modular multi-agent runtime developed at Argonne National Laboratory to support long-horizon, evidence-grounded scientific reasoning.
  • Rather than proposing new agent algorithms or claiming autonomous scientific discovery, AISAC contributes a governed execution substrate that operationalizes key requirements for deploying agentic AI in scientific practice, including…
Open paper
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du · Feb 24, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Ready
Coding
  • As Large Language Models (LLMs) can now process extremely long contexts, efficient inference over these extended inputs has become increasingly important, especially for emerging applications like LLM agents that highly depend on this…
Open paper
Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations

Pramudita Satria Palar, Paul Saves, Rommel G. Regis, Koji Shimoyama, Shigeru Obayashi, Nicolas Verstaevel · Dec 12, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 23% Sparse protocol signal Freshness: Cold Status: Ready
Math
  • Comparative evaluations were performed on three cases: a 5-variable analytical function, a 5-variable wind-turbine fatigue problem, and a 9-variable airfoil aerodynamics case, where ICE-based sensitivity was benchmarked against PDP, SHapley…
Open paper

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