| 2024 | REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity. | Zoher Kachwala, Jisun An, Haewoon Kwak, Filippo Menczer |
| 2024 | Program-Aided Reasoners (Better) Know What They Know. | Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig |
| 2024 | Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. | Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi |
| 2024 | Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering. | Minji Jung, Soyeon Park, Jeewoo Sul, Yong Suk Choi |
| 2024 | Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation. | Dahyun Jung, Sugyeong Eo, Chanjun Park, Heuiseok Lim |
| 2024 | A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models. | Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier, Huan Sun |
| 2024 | Does GPT-4 pass the Turing test? | Cameron R. Jones, Ben Bergen |
| 2024 | Analyzing the Role of Semantic Representations in the Era of Large Language Models. | Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schlkopf, Mona T. Diab |
| 2024 | Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. | Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang |
| 2024 | Exploring Self-supervised Logic-enhanced Training for Large Language Models. | Fangkai Jiao, Zhiyang Teng, Bosheng Ding, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty |
| 2024 | PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits. | Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara |
| 2024 | TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. | Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han |
| 2024 | On Large Language Models' Hallucination with Regard to Known Facts. | Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou |
| 2024 | GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. | Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han |
| 2024 | CPopQA: Ranking Cultural Concept Popularity by LLMs. | Ming Jiang, Mansi Joshi |
| 2024 | ComCLIP: Training-Free Compositional Image and Text Matching. | Kenan Jiang, Xuehai He, Ruize Xu, Xin Wang |
| 2024 | LeanReasoner: Boosting Complex Logical Reasoning with Lean. | Dongwei Jiang, Marcio Fonseca, Shay B. Cohen |
| 2024 | CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. | Xiang Jiang, Markus Dreyer |
| 2024 | Metaphor Detection with Context Enhancement and Curriculum Learning. | Kaidi Jia, Rongsheng Li |
| 2024 | MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. | Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin |
| 2024 | Leveraging LLMs for Dialogue Quality Measurement. | Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar |
| 2024 | Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. | Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park |
| 2024 | Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain. | Myeongjun Jang, Gbor Stikkel |
| 2024 | IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance. | Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, Kyomin Jung |
| 2024 | Rectifying Demonstration Shortcut in In-Context Learning. | Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu |