Skip to content

Researcher Tools

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: 83 Search mode: keyword Ranking: eval-signal prioritized Shortlist (0) RSS

Filter by tag

All Automatic Metrics (1,620) General (530) Long Horizon (320) Pairwise Preference (288) Coding (218) Simulation Env (187) Multi Agent (182) Medicine (116) Llm As Judge (107) Expert Verification (97) Human Eval (89) Rubric Rating (82) Web Browsing (79) Math (77) Demonstrations (67) Critique Edit (63)

Featured Papers

Popular high-signal papers with direct links to full protocol pages.

Browse by Topic

Jump directly into tag and hub pages to crawl deeper content clusters.

Popular Tags

Automatic Metrics (1,620) General (530) Long Horizon (320) Pairwise Preference (288) Coding (218) Simulation Env (187) Multi Agent (182) Medicine (116) Llm As Judge (107) Expert Verification (97) Human Eval (89) Rubric Rating (82)

Top Protocol Hubs

Weekly Eval Paper Digest

The top RLHF, evaluation, and human feedback papers — curated and summarized every Friday.

No spam. Unsubscribe anytime.

Start Here By Objective

Pick your immediate research objective and jump directly to high-signal pages, not generic search.

Scale Your Evaluation Team

Need human evaluators for your benchmark or preference study? OpenTrain sources pre-vetted domain experts into your annotation pipeline.

A Scalable Framework for Evaluating Health Language Models

Neil Mallinar, A. Ali Heydari, Xin Liu, Anthony Z. Faranesh, Brent Winslow, Nova Hammerquist · Mar 30, 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: Ready
Rubric RatingExpert Verification Automatic Metrics Medicine
  • As LLM-driven health applications are increasingly adopted, rigorous and efficient one-sided evaluation methodologies are crucial to ensure response quality across multiple dimensions, including accuracy, personalization and safety.
  • In this work, we introduce Adaptive Precise Boolean rubrics: an evaluation framework that streamlines human and automated evaluation of open-ended questions by identifying gaps in model responses using a minimal set of targeted rubrics…
Open paper
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference

Jin Du, Li Chen, Xun Xian, An Luo, Fangqiao Tian, Ganghua Wang · May 19, 2025

Citations: 0

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

Score: 58% Sparse protocol signal Freshness: Cold Status: Fallback
Rubric Rating Coding
  • Current benchmarks usually involve simplified tasks.
  • To address these limitations, we propose CausalPitfalls, a comprehensive benchmark designed to rigorously evaluate the capability of LLMs in overcoming common causal inference pitfalls.
Open paper
RM-R1: Reward Modeling as Reasoning

Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang · May 5, 2025

Citations: 0

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

Score: 58% Sparse protocol signal Freshness: Cold Status: Fallback
Pairwise PreferenceRubric Rating MathCoding
  • Reward modeling is essential for aligning large language models with human preferences through reinforcement learning.
  • Empirically, our models achieve superior performance across three reward model benchmarks on average, outperforming much larger open-weight models (e.g., INF-ORM-Llama3.1-70B) and proprietary ones (e.g., GPT-4o) by up to 4.9%.
Open paper

Protocol Hubs

Automatic Metrics + General + Llm As Judge Papers (17) Automatic Metrics Papers (Last 30 Days) (502) Automatic Metrics + General (Last 30 Days) (80) Automatic Metrics + General (Last 45 Days) (120) Automatic Metrics + General + Human Eval Papers (12) Automatic Metrics + General + Rubric Rating Papers (16) Automatic Metrics + Pairwise Preference (Last 30 Days) (28) Automatic Metrics + Pairwise Preference (Last 45 Days) (45) Automatic Metrics + Rubric Rating (Last 30 Days) (13) CS.LG Papers (Last 30 Days) (632) CS.LG + General Papers (124) General + Pairwise Preference (Last 30 Days) (48) General + Pairwise Preference (Last 45 Days) (86) Pairwise Preference Papers (Last 30 Days) (70) Pairwise Preference Papers (Last 45 Days) (128) Automatic Metrics + General + Long Horizon Papers (72)

Benchmark Hubs

Metric Hubs

Daily Archives

Get Started

Join the #1 Platform for AI Training Talent

Where top AI builders and expert AI Trainers connect to build the future of AI.
Self-Service
Post a Job
Post your project and get a shortlist of qualified AI Trainers and Data Labelers. Hire and manage your team in the tools you already use.
Create Account & Post a Job
Managed Service
For Large Projects
Done-for-You
We recruit, onboard, and manage a dedicated team inside your tools. End-to-end operations for large or complex projects.
Learn About Managed Service
For Freelancers
Join as an AI Trainer
Find AI training and data labeling projects across platforms, all in one place. One profile, one application process, more opportunities.
Join Now