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Human Feedback and Eval Paper Explorer

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Total papers: 9 Search mode: keyword Shortlist (0) RSS

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PRBench: End-to-end Paper Reproduction in Physics Research

Shi Qiu, Junyi Deng, Yiwei Deng, Haoran Dong, Jieyu Fu, Mao Li · Mar 29, 2026

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 58% Moderate protocol signal Freshness: Warm Status: Ready
Rubric RatingExpert Verification Automatic MetricsSimulation Env Coding
  • We introduce PRBench, a benchmark of 30 expert-curated tasks spanning 11 subfields of physics.
  • Using an agentified assessment pipeline, we evaluate a set of coding agents on PRBench and analyze their capabilities across key dimensions of scientific reasoning and execution.
Open paper
DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs

Md Hasebul Hasan, Krity Haque Charu, Eshwara Prasad Sridhar, Shuchisnigdha Deb, Mohammad A. Islam · Mar 20, 2026

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 55% Moderate protocol signal Freshness: Warm Status: Fallback
Human EvalLlm As Judge LawCoding
  • To bridge this gap, we present DeEscalWild, a novel benchmark dataset curated from a multi-stage pipeline of in-the-wild police-civilian interactions extracted from publicly available video repositories.
  • Extensive experiments demonstrate that SLMs fine-tuned on this data significantly outperform their base counterparts across ROUGE-L, BLEU-4, METEOR, BERTScore, Realism Score, and human evaluation metrics.
Open paper
HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns

Xintao Wang, Jian Yang, Weiyuan Li, Rui Xie, Jen-tse Huang, Jun Gao · Jan 15, 2026

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 55% Moderate protocol signal Freshness: Warm Status: Fallback
Automatic MetricsSimulation Env Coding
  • We present HumanLLM, a framework treating psychological patterns as interacting causal forces.
  • Our dual-level checklists evaluate both individual pattern fidelity and emergent multi-pattern dynamics, achieving strong human alignment (r=0.90) while revealing that holistic metrics conflate simulation accuracy with social desirability.
Open paper
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation

Mohsen Hariri, Amirhossein Samandar, Michael Hinczewski, Vipin Chaudhary · Oct 5, 2025

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 53% High protocol signal Freshness: Cold Status: Ready
Rubric Rating Automatic MetricsSimulation Env Coding
  • We present a principled Bayesian evaluation framework that replaces Pass@k and average accuracy over N trials (avg@N) with posterior estimates of a model's underlying success probability and credible intervals, yielding stable rankings and…
  • Together, these results recommend replacing Pass@k for LLM evaluation and ranking with a posterior-based, compute-efficient protocol that unifies binary and non-binary evaluation while making uncertainty explicit.
Open paper
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification

Moises Andrade, Joonhyuk Cha, Brandon Ho, Vriksha Srihari, Karmesh Yadav, Zsolt Kira · Jul 15, 2025

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 53% High protocol signal Freshness: Cold Status: Ready
Pairwise Preference Automatic MetricsSimulation Env Long Horizon MathCoding
  • We evaluate MLLM verifiers across web navigation, computer use, and robotics, spanning 13+ models, 28+ designs, and thousands of trajectories from diverse agents.
  • Our methods yield more human-aligned verifiers, improving failure detection by 25pp and accuracy by 14pp.
Open paper

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