| 2024 | E²CL: Exploration-based Error Correction Learning for Embodied Agents. | Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li |
| 2024 | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | RAGViz: Diagnose and Visualize Retrieval-Augmented Generation. | Tevin Wang, Jingyuan He, Chenyan Xiong |
| 2024 | Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. | Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction. | Sijia Wang, Lifu Huang |
| 2024 | QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism. | Bo Wang, Heyan Huang, Yixin Cao, Jiahao Ying, Wei Tang, Chong Feng |
| 2024 | Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals. | Yupei Wang, Renfen Hu, Zhe Zhao |
| 2024 | RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. | Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | Investigating the Personality Consistency in Quantized Role-Playing Dialogue Agents. | Yixiao Wang, Homa Fashandi, Kevin Ferreira |
| 2024 | Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL. | Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che |
| 2024 | PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. | Noah Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu |
| 2024 | ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. | Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu |
| 2024 | DA³: A Distribution-Aware Adversarial Attack against Language Models. | Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu |
| 2024 | The Overlooked Repetitive Lengthening Form in Sentiment Analysis. | Lei Wang, Eduard C. Dragut |
| 2024 | RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework. | Yifan Wang, Vera Demberg |
| 2024 | Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons. | Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Zeng |
| 2024 | Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. | Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu |
| 2024 | Modeling News Interactions and Influence for Financial Market Prediction. | Mengyu Wang, Shay B. Cohen, Tiejun Ma |
| 2024 | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. | Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen |
| 2024 | Enhancing High-order Interaction Awareness in LLM-based Recommender Model. | Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki |
| 2024 | Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. | Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu |
| 2024 | Revisiting Automated Evaluation for Long-form Table Question Answering. | Yuqi Wang, Lyuhao Chen, Songcheng Cai, Zhijian Xu, Yilun Zhao |
| 2024 | Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. | Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li |
| 2024 | GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack. | Liaoyaqi Wang, Minhao Cheng |
| 2024 | In-Context Former: Lightning-fast Compressing Context for Large Language Model. | Xiangfeng Wang, Zaiyi Chen, Tong Xu, Zheyong Xie, Yongyi He, Enhong Chen |