ConFiguRe: Exploring Discourse-level Chinese Figures of Speech. - Dawei Zhu; Qiusi Zhan; Zhejian Zhou; Yifan Song 002; Jiebin Zhang; Sujian Li (COLING, 2022)

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Sujian Li; Zhifang Sui (EMNLP, 2022)

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan Song 002; Tianyu Liu 001; Baobao Chang; Zhifang Sui (IJCAI, 2022)

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Rundong Gao; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2022)

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. - Yifan Song 002; Peiyi Wang; Weimin Xiong; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (EMNLP (Findings), 2023)

Rationale-Enhanced Language Models are Better Continual Relation Learners. - Weimin Xiong; Yifan Song 002; Peiyi Wang; Sujian Li (EMNLP, 2023)

DocRED-FE: A Document-Level Fine-Grained Entity and Relation Extraction Dataset. - Hongbo Wang; Weimin Xiong; Yifan Song 002; Dawei Zhu; Yu Xia; Sujian Li (ICASSP, 2023)

RepCL: Exploring Effective Representation for Continual Text Classification. - Yifan Song 002; Peiyi Wang; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (CoRR, 2023)

RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs. - Yifan Song 002; Weimin Xiong; Dawei Zhu; Cheng Li; Ke Wang; Ye Tian; Sujian Li (CoRR, 2023)

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. - Yifan Song 002; Da Yin; Xiang Yue; Jie Huang; Sujian Li; Bill Yuchen Lin (ACL (1), 2024)

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories. - Yifan Song 002; Weimin Xiong; Xiutian Zhao; Dawei Zhu; Wenhao Wu; Ke Wang; Cheng Li; Wei Peng 011; Sujian Li (EMNLP (Findings), 2024)

Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement. - Weimin Xiong; Yifan Song 002; Xiutian Zhao; Wenhao Wu; Xun Wang; Ke Wang; Cheng Li; Wei Peng 011; Sujian Li (EMNLP, 2024)

LongEmbed: Extending Embedding Models for Long Context Retrieval. - Dawei Zhu; Liang Wang 046; Nan Yang 002; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (EMNLP, 2024)

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. - Dawei Zhu; Nan Yang 002; Liang Wang 046; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (ICLR, 2024)

CoUDA: Coherence Evaluation via Unified Data Augmentation. - Dawei Zhu; Wenhao Wu; Yifan Song 002; Fangwei Zhu; Ziqiang Cao; Sujian Li (NAACL-HLT, 2024)

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? - Junpeng Liu 001; Yifan Song 002; Bill Yuchen Lin; Wai Lam; Graham Neubig; Yuanzhi Li; Xiang Yue (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression. - Jiebin Zhang; Dawei Zhu; Yifan Song 002; Wenhao Wu; Chuqiao Kuang; Xiaoguang Li; Lifeng Shang; Qun Liu 001; Sujian Li (CoRR, 2024)

ISR: Self-Refining Referring Expressions for Entity Grounding. - Zhuocheng Yu; Bingchan Zhao; Yifan Song 002; Sujian Li; Zhonghui He (ACL (1), 2025)

Hierarchical Memory Organization for Wikipedia Generation. - Eugene J. Yu; Dawei Zhu; Yifan Song 002; Xiangyu Wong; Jiebin Zhang; Wenxuan Shi; Xiaoguang Li; Qun Liu 001; Sujian Li (ACL (1), 2025)

Exploring Fine-Grained Human Motion Video Captioning. - Bingchan Zhao; Xinyi Liu; Zhuocheng Yu; Tongchen Yang; Yifan Song 002; Mingyu Jin; Sujian Li; Yizhou Wang (COLING, 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

Harnessing Webpage UIs for Text-Rich Visual Understanding. - Junpeng Liu 001; Tianyue Ou; Yifan Song 002; Yuxiao Qu; Wai Lam; Chenyan Xiong; Wenhu Chen; Graham Neubig; Xiang Yue (ICLR, 2025)

The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism. - Yifan Song 002; Guoyin Wang; Sujian Li; Bill Yuchen Lin (NAACL (Long Papers), 2025)

MPO: Boosting LLM Agents with Meta Plan Optimization. - Weimin Xiong; Yifan Song 002; Qingxiu Dong; Bingchan Zhao; Feifan Song 001; Xun Wang; Sujian Li (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

More Vulnerable than You Think: On the Stability of Tool-Integrated LLM Agents. - Weimin Xiong; Ke Wang; Yifan Song 002; Hanchao Liu; Sai Zhou; Wei Peng 011; Sujian Li (CoRR, 2025)

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis. - Feifan Song 001; Bofei Gao; Yifan Song 002; Yi Liu; Weimin Xiong; Yuyang Song; Tianyu Liu 001; Guoyin Wang; Houfeng Wang (CoRR, 2025)