Papers
Hierarchical Enhancement Framework for Aspect-based Argument Mining
Yujie Fu, Yang Li, Suge Wang et al.
Hierarchical Fusion for Online Multimodal Dialog Act Classification
Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang
Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang, Junyu Luo, Jiaqi Wang et al.
Hierarchical Prompting Assists Large Language Model on Web Navigation
Robert Lo, Abishek Sridhar, Frank Xu et al.
High-quality argumentative information in low resources approaches improve counter-narrative generation
Damián Furman, Pablo Torres, José Rodríguez et al.
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus
Andrea Piergentili, Beatrice Savoldi, Dennis Fucci et al.
HistAlign: Improving Context Dependency in Language Generation by Aligning with History
David Wan, Shiyue Zhang, Mohit Bansal
Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Yufan Wu, Yinghui He, Yilin Jia et al.
HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities
Esra Dönmez, Pascal Tilli, Hsiu-Yu Yang et al.
Holistic Inter-Annotator Agreement and Corpus Coherence Estimation in a Large-scale Multilingual Annotation Campaign
Nicolas Stefanovitch, Jakub Piskorski
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers
Hosein Mohebbi, Grzegorz Chrupała, Willem Zuidema et al.
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Yu Song, Santiago Miret, Huan Zhang et al.
“Honey, Tell Me What’s Wrong”, Global Explanation of Textual Discriminative Models through Cooperative Generation
Antoine Chaffin, Julien Delaunay
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision
Wenting Zhao, Justin Chiu, Claire Cardie et al.
How Does Generative Retrieval Scale to Millions of Passages?
Ronak Pradeep, Kai Hui, Jai Gupta et al.
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni, Dan Garrette, Ekaterina Shutova
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang, Meng Fang, Ling Chen et al.
How Fragile is Relation Extraction under Entity Replacements?
Yiwei Wang, Bryan Hooi, Fei Wang et al.
How Many Demonstrations Do You Need for In-context Learning?
Jiuhai Chen, Lichang Chen, Chen Zhu et al.
How Much Consistency Is Your Accuracy Worth?
Jacob K. Johnson, Ana Marasović
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
Qinyuan Ye, Harvey Fu, Xiang Ren et al.
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
Tharindu Kumarage, Paras Sheth, Raha Moraffah et al.
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
Jun Bai, Xiaofeng Zhang, Chen Li et al.
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
Hang Chen, Xinyu Yang, Jing Luo et al.