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Feiteng Fang

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
2024 · Feiteng Fang, Yuelin Bai, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 32
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COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
2025 · Yuelin Bai, Xeron Du, et al. · Findings of the Association for Computational Linguistics: NAACL · 10
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DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
2024 · Nan Xie, Yuelin Bai, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 5
Can MLLMs Understand the Deep Implication Behind Chinese Images?
2025 · Chenhao Zhang, Xi Feng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 4
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LIME: Less Is More for MLLM Evaluation
2025 · King Zhu, Qianbo Zang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment
2024 · Feiteng Fang, Liang Zhu, et al. · Language Resources and Evaluation Conference (LREC) · 1
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SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
2026 · Li, Shuaimin, Fan, Liyang, et al. · arXiv (Cornell University)
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Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
2026 · Association for Computational Linguistics 2026, Alinejad-Rokny, Hamid, et al. · Underline Science Inc.
PLOT: Enhancing Preference Learning via Optimal Transport
2026 · Zhu, Liang, Bai, Yuelin, et al. · arXiv (Cornell University)
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Beyond Quantity: Trajectory Diversity Scaling for Code Agents
2026 · Chen, Guhong, Sun, Chenghao, et al. · arXiv (Cornell University)
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Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
2026 · Feiteng Fang, Dingwei Chen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
2026 · Shuaimin Li, Liyang Fan, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Beyond Quantity: Trajectory Diversity Scaling for Code Agents
2026 · Guhong Chen, Chenghao Sun, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
2025 · Chen, Dingwei, Liu, Ziqiang, et al. · arXiv (Cornell University)
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Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
2025 · Dingwei Chen, Ziqiang Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LIME: Less Is More for MLLM Evaluation
2024 · Zhu, King, Zang, Qianbo, et al. · arXiv (Cornell University)
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Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused
2024 · Chen, Dingwei, Fang, Feiteng, et al. · arXiv (Cornell University)
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Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection
2023 · Feiteng Fang, Min Yang, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
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Works count: 24
Citation count: 53
H-index: 4
I10-index: 2
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