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Kaiyan Zhang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Post-Trained MoE Can Skip Half Experts via Self-Distillation.

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CoRR, May, 2026

MARS<sup>2</sup>: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation.

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CoRR, April, 2026

Semantic Correspondence: Unified Benchmarking and a Strong Baseline.

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IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration.

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CoRR, March, 2026

How Far Can Unsupervised RLVR Scale LLM Training?

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CoRR, March, 2026

MARTI-MARS<sup>2</sup>: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation.

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CoRR, February, 2026

PRISMA: Reinforcement Learning Guided Two-Stage Policy Optimization in Multi-Agent Architecture for Open-Domain Multi-Hop Question Answering.

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CoRR, January, 2026

Process Reinforcement through Implicit Rewards.

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Trans. Mach. Learn. Res., 2026

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future.

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Manasi Patwardhan

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MARS²: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe.

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CoRR, December, 2025

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices.

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Liangliang Zhao

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IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models.

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CoRR, September, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.

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CoRR, September, 2025

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning.

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Shanghang Zhang

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CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

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CoRR, September, 2025

Towards a Unified View of Large Language Model Post-Training.

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CoRR, September, 2025

SSRL: Self-Search Reinforcement Learning.

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CoRR, August, 2025

ReviewRL: Towards Automated Scientific Review with RL.

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CoRR, August, 2025

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks.

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Joseph Chee Chang

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Charles McGrady

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Hannaneh Hajishirzi

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CoRR, July, 2025

Automating Exploratory Multiomics Research via Language Models.

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CoRR, June, 2025

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation.

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CoRR, May, 2025

TTRL: Test-Time Reinforcement Learning.

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CoRR, April, 2025

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models.

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CoRR, March, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

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CoRR, February, 2025

Process Reinforcement through Implicit Rewards.

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CoRR, February, 2025

TTRL: Test-Time Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks.

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Joseph Chee Chang

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Hanna Hajishirzi

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

How to Synthesize Text Data without Model Collapse?

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Free Process Rewards without Process Labels.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AdsQA: Towards Advertisement Video Understanding.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Video-T1: Test-Time Scaling for Video Generation.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ReviewRL: Towards Automated Scientific Review with RL.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers.

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Manasi Patwardhan

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Fusing Highly Specialized Language Models for Comprehensive Expertise.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization.

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CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.

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CoRR, 2024

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices.

[DOI]

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Liangliang Zhao

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CoRR, 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.

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CoRR, 2024

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion.

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CoRR, 2024

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.

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CoRR, 2024

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing.

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CoRR, 2024

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

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CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning.

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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SMR: State Memory Replay for Long Sequence Modeling.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generative Multi-Modal Knowledge Retrieval with Large Language Models.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation.

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ACM Trans. Inf. Syst., January, 2023

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation.

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ACM Trans. Inf. Syst., 2023

Large Language Models are Zero Shot Hypothesis Proposers.

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CoRR, 2023

PaD: Program-aided Distillation Specializes Large Models in Reasoning.

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CoRR, 2023

Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications.

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Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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