Guanhua Chen

According to our database, Guanhua Chen authored at least 70 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Semantically Structured Mixture-of-Experts for Compositional Robotic Manipulation.

Chengyu Deng, Guanqi Chen, Yizhou Chen, Zejia Liu, Zhiwen Ruan, Guanhua Chen, Jia Pan

CoRR, May, 2026

CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision.

Pengcheng Wang, Haoxiang Liu, Yang Dai, Xiangxiang Zeng, Guanhua Chen, Baotian Hu, Longyue Wang, Weihua Luo

CoRR, May, 2026

Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback.

Lecheng Yan, Ruizhe Li, Xicheng Han, Wenxi Li, Binwu Wang, Longyue Wang, Chenyang Lyu, Guanhua Chen

CoRR, May, 2026

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios.

Yutao Hou, Yihan Jiang, Yuhan Xie, Jian Yang, Liwen Zhang, Hailiang Huang, Guanhua Chen, Yun Chen

CoRR, May, 2026

CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks.

Peiqin Lin, Chenyang Lyu, Wenjiang Luo, Haotian Ye, Md Mehrab Hossain, Chunlan Ma, Shaoxiong Ji, Younes Samih, Bo Zeng, Fan Jiang, Yuanbin Cao, Dilda Duisenbek, Adrian Neo Sau Xun, Daria Pozdniakova, Liubou Misevich, Nevena Marinkovic, Ngoc Gia Linh Nguyen, Thi Khanh Linh Do, Sarakmatak Sophy, Baotian Hu, Guanhua Chen, Gongbo Tang, Alham Fikri Aji, Longyue Wang, Weihua Luo

CoRR, April, 2026

Representation-Guided Parameter-Efficient LLM Unlearning.

Zeguan Xiao, Lang Mo, Yun Chen, Lei Yang, Jiehui Zhao, Lili Yang, Guanhua Chen

CoRR, April, 2026

Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems.

Wanxing Wu, He Zhu, Yixia Li, Lei Yang, Jiehui Zhao, Hongru Wang, Jian Yang, Benyou Wang, Bingyi Jing, Guanhua Chen

CoRR, February, 2026

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation.

Peng Lai, Zhihao Ou, Yong Wang, Longyue Wang, Jian Yang, Yun Chen, Guanhua Chen

CoRR, February, 2026

ARGOS: Automated Functional Safety Requirement Synthesis for Embodied AI via Attribute-Guided Combinatorial Reasoning.

Dongsheng Chen, Yuxuan Li, Yi Lin, Guanhua Chen, Jiaxin Zhang, Xiangyu Zhao, Lei Ma, Xin Yao, Xuetao Wei

CoRR, February, 2026

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification.

Tianyi Wang, Long Li, Hongcan Guo, Yibiao Chen, Yixia Li, Yong Wang, Yun Chen, Guanhua Chen

CoRR, February, 2026

From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics.

Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei

CoRR, January, 2026

SemTraj: Semantic-controllable diffusion model for high-fidelity trajectory data generation.

Yuchen Jiang, Guanhua Chen, Shiyao Zhang, Liang Han, James Jianqiao Yu

Expert Syst. Appl., 2026

Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem.

Zeguan Xiao, Siqing Li, Yong Wang, Xuetao Wei, Jian Yang, Yun Chen, Guanhua Chen

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

SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks.

Tianyi Wang, Yixia Li, Long Li, Yibiao Chen, Shaohan Huang, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

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

InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning.

Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

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

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models.

Zhiwen Ruan, Yichao Du, Jianjie Zheng, Longyue Wang, Yun Chen, Peng Li, Jinsong Su, Yang Liu, Guanhua Chen

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

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents.

Zeping Li, Hongru Wang, Yiwen Zhao, Guanhua Chen, Yixia Li, Keyang Chen, Yixin Cao, Guangnan Ye, Hongfeng Chai, Zhenfei Yin

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

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Yixia Li, Hongru Wang, Jiahao Qiu, Zhenfei Yin, Dongdong Zhang, Cheng Qian, Zeping Li, Xiaoteng Ma, Guanhua Chen, Heng Ji

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

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief.

Zeguan Xiao, Diyang Dou, Boya Xiong, Yun Chen, Guanhua Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions.

Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Yixia Li, Hongru Wang, Jiahao Qiu, Zhenfei Yin, Dongdong Zhang, Cheng Qian, Zeping Li, Pony Ma, Guanhua Chen, Heng Ji, Mengdi Wang

CoRR, December, 2025

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning.

Zhiwen Ruan, Yixia Li, He Zhu, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

CoRR, October, 2025

CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling.

Zhengyang Tang, Zihan Ye, Chenyu Huang, Xuhan Huang, Chengpeng Li, Sihang Li, Guanhua Chen, Ming Yan, Zizhuo Wang, Hongyuan Zha, Dayiheng Liu, Benyou Wang

CoRR, October, 2025

Anchored Supervised Fine-Tuning.

He Zhu, Junyou Su, Peng Lai, Ren Ma, Wenjia Zhang, Linyi Yang, Guanhua Chen

CoRR, September, 2025

Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks.

Zhiwen Ruan, Yun Chen, Yutao Hou, Peng Li, Yang Liu, Guanhua Chen

CoRR, August, 2025

A Joint Learning of Force Feedback of Robotic Manipulation and Textual Cues for Granular Materials Classification.

Zeqing Zhang, Guanqi Chen, Wentao Chen, Ruixing Jia, Guanhua Chen, Liangjun Zhang, Jia Pan, Peng Zhou

IEEE Robotics Autom. Lett., July, 2025

ADAMIX: Adaptive Mixed-Precision Delta-Compression with Quantization Error Optimization for Large Language Models.

Boya Xiong, Shuo Wang, Weifeng Ge, Guanhua Chen, Yun Chen

CoRR, June, 2025

Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms.

Zeguan Xiao, Yun Chen, Guanhua Chen

CoRR, June, 2025

Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers.

Yutao Hou, Zeguan Xiao, Fei Yu, Yihan Jiang, Xuetao Wei, Hailiang Huang, Yun Chen, Guanhua Chen

CoRR, June, 2025

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages.

Yongdong Chi, Hanqing Wang, Zonghan Yang, Jian Yang, Xiao Yan, Yun Chen, Guanhua Chen

CoRR, June, 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, Jianqiao Yu, Yun Chen, Guanhua Chen

CoRR, April, 2025

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models.

Chenyu Zhu, Yefeng Liu, Chenyang Lyu, Xue Yang, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang

CoRR, February, 2025

Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning.

Zeqing Zhang, Guangze Zheng, Xuebo Ji, Guanqi Chen, Ruixing Jia, Wentao Chen, Guanhua Chen, Liangjun Zhang, Jia Pan

IEEE Robotics Autom. Lett., January, 2025

Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection.

Chenyu Zhu, Yefeng Liu, Hao Helen Zhang, Aowen Wang, Yangxue, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang

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

Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations.

Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

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

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters.

Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Xuetao Wei, Hailiang Huang, Guanhua Chen, Yun Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions.

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Huimin Wang, Guanhua Chen, Kam-Fai Wong

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy.

Zhiwen Ruan, Yixia Li, He Zhu, Longyue Wang, Weihua Luo, Kaifu Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models.

He Zhu, Junyou Su, Minxin Chen, Wen Wang, Yijie Deng, Guanhua Chen, Wenjia Zhang

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

G2: Guided Generation for Enhanced Output Diversity in LLMs.

Zhiwen Ruan, Yixia Li, Yefeng Liu, Yun Chen, Weihua Luo, Peng Li, Yang Liu, Guanhua Chen

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

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages.

Yongdong Chi, Hanqing Wang, Yun Chen, Yan Yang, Jian Yang, Zonghan Yang, Xiao Yan, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation.

He Zhu, Zhiwen Ruan, Junyou Su, Xingwei He, Yun Chen, Wenjia Zhang, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.

He Zhu, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li, Wenjia Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework.

He Zhu, Guanhua Chen, Wenjia Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, James Jianqiao Yu, Yun Chen, Guanhua Chen

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

LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation.

Yuxuan Li, Xinwei Guo, Jiashi Gao, Guanhua Chen, Xiangyu Zhao, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei

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

The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing.

Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Guanhua Chen, Xiangyu Zhao, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions.

Yutao Hou, Yajing Luo, Zhiwen Ruan, Hongru Wang, Weifeng Ge, Yun Chen, Guanhua Chen

CoRR, 2024

ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models.

Hengxiang Zhang, Hongfu Gao, Qiang Hu, Guanhua Chen, Lili Yang, Bingyi Jing, Hongxin Wei, Bing Wang, Haifeng Bai, Lei Yang

CoRR, 2024

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.

He Zhu, Junyou Su, Tianle Lun, Yicheng Tao, Wenjia Zhang, Zipei Fan, Guanhua Chen

CoRR, 2024

SoP: Unlock the Power of Social Facilitation for Automatic Jailbreak Attack.

Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Hailiang Huang, Guanhua Chen, Yun Chen

CoRR, 2024

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Zeguan Xiao, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

CoRR, 2024

Tastle: Distract Large Language Models for Automatic Jailbreak Attack.

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen

CoRR, 2024

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions.

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong

CoRR, 2024

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation.

Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen

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

Distract Large Language Models for Automatic Jailbreak Attack.

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen

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

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning.

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

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

2023

TADIS: Steering Models for Deep-Thinking about Demonstration Examples.

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

CoRR, 2023

StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation.

Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Explanation Methods for Vision-and-Language Navigation.

Guanqi Chen, Lei Yang, Guanhua Chen, Jia Pan

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

mCLIP: Multilingual CLIP via Cross-lingual Transfer.

Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation.

Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multilingual Sentence Transformer as A Multilingual Word Aligner.

Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation.

Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation.

Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

CoRR, 2021

Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders.

Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance.

Guanhua Chen, Yun Chen, Victor O. K. Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation.

Guanhua Chen, Yun Chen, Yong Wang, Victor O. K. Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurate Word Alignment Induction from Neural Machine Translation.

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020