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From the 1 of 16 linked papers with an AI index.

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20242026
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cs.CL2026

Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature

Jinkai Tao, Yubo Wang, Xiaoyu Liu +1

Identifying promising research directions in fast-moving subareas is one of the most cognitively expensive tasks in modern AI research. Existing LLM-driven scientific discovery sys…

cs.CL2026

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Yuxuan Zhang, Yubo Wang, Yipeng Zhu +27

AI agents may be able to assist with emails and documents, but can they reliably complete everyday online workflows on real websites? Everyday online tasks offer a realistic yet un…

cs.CL2026

Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning

Chi Ruan, Dongfu Jiang, Yubo Wang +1

Reinforcement Learning (RL) has emerged as a popular training paradigm, particularly when paired with reasoning models. While effective, it primarily focuses on generating response…

cs.CL2025

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem

Yubo Wang, Ping Nie, Kai Zou +2

We have witnessed that strong LLMs like Qwen-Math, MiMo, and Phi-4 possess immense reasoning potential inherited from the pre-training stage. With reinforcement learning (RL), thes…

cs.CL2025

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Jarvis Guo, Tuney Zheng, Yuelin Bai +7

Open-source multimodal large language models (MLLMs) have shown significant potential in a broad range of multimodal tasks. However, their reasoning capabilities remain constrained…

cs.CL2025

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Xiang Yue, Tianyu Zheng, Yuansheng Ni +10

This paper introduces MMMU-Pro, a robust version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) benchmark. MMMU-Pro rigorously assesses multimodal mo…