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20232026
most citedHow to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

5 citations · 10 across the 12 of their papers we have counts for

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cs.CL2026

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Yu Xia, Zhouhang Xie, Xin Xu +4

Large language models improve final-answer accuracy through extended chain-of-thought reasoning, but often spend tokens inefficiently and offer little inference-time control. Exist…

cs.CL2025

When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation

Xunyi Jiang, Dingyi Chang, Julian McAuley +1

The rapid evolution of large language models (LLMs) and the real world has outpaced the static nature of widely used evaluation benchmarks, raising concerns about their reliability…

cs.CL2025

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Xin Xu, Xunzhi He, Churan Zhi +3

Existing studies on bias mitigation methods for large language models (LLMs) use diverse baselines and metrics to evaluate debiasing performance, leading to inconsistent comparison…

cs.CL2025

BiasEdit: Debiasing Stereotyped Language Models via Model Editing

Xin Xu, Wei Xu, Ningyu Zhang +1

Previous studies have established that language models manifest stereotyped biases. Existing debiasing strategies, such as retraining a model with counterfactual data, representati…

cs.CL2024

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs

Jizhan Fang, Tianhe Lu, Yunzhi Yao +4

Chinese, as a linguistic system rich in depth and complexity, is characterized by distinctive elements such as ancient poetry, proverbs, idioms, and other cultural constructs. Howe…