activity
20192026
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 1k across the 56 of their papers we have counts for

collaborators

57 papers

cs.LG2026

Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers

Xiaoyu Chen, Bo Shao, Tiangang Zhu +5

Reinforcement learning can substantially improve a reasoning teacher, but it is unclear which of those improvements survive when the teacher supervises a smaller on-policy student.…

cs.AI2026

What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills

Tao Li, Junfeng Liu, Qinghua Zhao +5

Agent skills are increasingly optimized by automated feedback loops, producing long structured artifacts whose internal value remains unclear. We study skill valuation: assigning c…

cs.CL2026

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator

Shiping Yang, Shining Liang, Weihao Liu +4

Identifying faithfulness hallucinations in LLM-generated outputs remains challenging due to the scarcity of high-quality annotated data. Recent work relies on advanced LLMs to synt…

cs.CV2024

Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering

Tao Li, Linjun Shou, Xuejun Liu

Zero-shot visual question answering (VQA) is a challenging task that requires reasoning across modalities. While some existing methods rely on a single rationale within the Chain o…

cs.CL2024

Hypertext Entity Extraction in Webpage

Yifei Yang, Tianqiao Liu, Bo Shao +4

Webpage entity extraction is a fundamental natural language processing task in both research and applications. Nowadays, the majority of webpage entity extraction models are traine…

cs.CL2024★ 1 cited

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

Nuo Chen, Ning Wu, Shining Liang +4

This paper presents an in-depth analysis of Large Language Models (LLMs), focusing on LLaMA, a prominent open-source foundational model in natural language processing. Instead of a…