Image de couverture de livre

Training AI Co-Scientists Using Rubric Rewards

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Goel, Shashwat, Hazra, Rishi, Jayalath, Dulhan, Willi, Timon, Jain, Parag, Shen, William F., Leontiadis, Ilias, Barbieri, Francesco, Bachrach, Yoram, Geiping, Jonas, Whitehouse, Chenxi
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computation and Language Human-Computer Interaction
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
par: Shen, William F., et autres
Publié: (2026)

Balanced Accuracy: The Right Metric for Evaluating LLM Judges -- Explained through Youden's J statistic
par: Collot, Stephane, et autres
Publié: (2025)

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
par: Jayalath, Dulhan, et autres
Publié: (2025)

Scaling Open-Ended Reasoning to Predict the Future
par: Chandak, Nikhil, et autres
Publié: (2025)

Answer Matching Outperforms Multiple Choice for Language Model Evaluation
par: Chandak, Nikhil, et autres
Publié: (2025)

Towards Knowledge-Grounded Natural Language Understanding and Generation
par: Whitehouse, Chenxi
Publié: (2024)

MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
par: Jayalath, Dulhan, et autres
Publié: (2026)

FutureSim: Replaying World Events to Evaluate Adaptive Agents
par: Goel, Shashwat, et autres
Publié: (2026)

Pitfalls in Evaluating Language Model Forecasters
par: Paleka, Daniel, et autres
Publié: (2025)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
par: Thöni, Anna C. M., et autres
Publié: (2025)

APRES: An Agentic Paper Revision and Evaluation System
par: Zhao, Bingchen, et autres
Publié: (2026)

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
par: Lupu, Andrei, et autres
Publié: (2025)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
par: Jayalath, Dulhan, et autres
Publié: (2024)

Scaling Small Agents Through Strategy Auctions
par: Alazraki, Lisa, et autres
Publié: (2026)

AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
par: Jia, Mengzhao, et autres
Publié: (2025)

Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
par: Sharma, Agniv, et autres
Publié: (2024)

Structsum Generation for Faster Text Comprehension
par: Jain, Parag, et autres
Publié: (2024)

OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
par: Liu, Tianci, et autres
Publié: (2025)

Unlocking Non-Invasive Brain-to-Text
par: Jayalath, Dulhan, et autres
Publié: (2025)

Great Models Think Alike and this Undermines AI Oversight
par: Goel, Shashwat, et autres
Publié: (2025)

Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering
par: Jain, Parag, et autres
Publié: (2024)

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
par: Sinha, Akshit, et autres
Publié: (2025)

RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
par: Li, Gaotang, et autres
Publié: (2026)

AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
par: Ding, Liang
Publié: (2026)

Visual Preference Optimization with Rubric Rewards
par: Yu, Ya-Qi, et autres
Publié: (2026)

Reinforcement Learning with Robust Rubric Rewards
par: Yu, Ya-Qi, et autres
Publié: (2026)

REvolve: Reward Evolution with Large Language Models using Human Feedback
par: Hazra, Rishi, et autres
Publié: (2024)

Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
par: Geiping, Jonas, et autres
Publié: (2025)

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
par: Xu, Tianze, et autres
Publié: (2026)

OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
par: Shao, Chenyang, et autres
Publié: (2025)

Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
par: Yuan, Youliang, et autres
Publié: (2025)

Proportional Aggregation of Preferences for Sequential Decision Making
par: Chandak, Nikhil, et autres
Publié: (2023)

Rubric-Guided Process Reward for Stepwise Model Routing
par: Ye, Shenghao, et autres
Publié: (2026)

A Grading Rubric for AI Safety Frameworks
par: Alaga, Jide, et autres
Publié: (2024)

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification
par: Liu, Rui, et autres
Publié: (2026)

Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
par: Jiralerspong, Marco, et autres
Publié: (2023)

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation
par: Feng, Xuelu, et autres
Publié: (2025)

R3: Robust Rubric-Agnostic Reward Models
par: Anugraha, David, et autres
Publié: (2025)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
par: Gunjal, Anisha, et autres
Publié: (2025)

Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models
par: Zhu, Xiaochen, et autres
Publié: (2024)