Papers
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning
Zhenyi Wang, Yapeng Jia, Haiyan Ning et al.
HMoE: Heterogeneous Mixture of Experts for Language Modeling
An Wang, Xingwu Sun, Ruobing Xie et al.
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models
Chuan He, Zhuozhao Li, Song Guo et al.
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration
Cheng Longkai, Along He, Mulin Li et al.
HOPE at TSAR 2025 Shared Task Balancing Control and Complexity in Readability-Controlled Text Simplification
Sujal Maharjan, Astha Shrestha
Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
Jonathan Pofcher, Christopher M Homan, Randall Sell et al.
Hopscotch: Discovering and Skipping Redundancies in Language Models
Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang et al.
How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders
Tatsuro Inaba, Go Kamoda, Kentaro Inui et al.
How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
Xiliang Zhu, Shi Zong, David Rossouw
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
Venkatesh Mishra, Amir Saeidi, Satyam Raj et al.
How Can We Relate Language Modeling to Morphology?
Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
Seonghyeon Lee, HeeJae Chon, Joonwon Jang et al.
How do autoregressive transformers solve full addition?
Wang Peixu, Chen Yu, Yu Ming et al.
How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations
Yoshiki Takenami, Yin Jou Huang, Yugo Murawaki et al.
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
Yushi Yang, Filip Sondej, Harry Mayne et al.
How Does Knowledge Selection Help Retrieval Augmented Generation?
Xiangci Li, Jessica Ouyang
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future
Zerui Chen, Huiming Fan, Qianyu Wang et al.
How Do Large Language Models Evaluate Lexical Complexity?
Abdelhak Kelious, Mathieu Constant, Christophe Coeur
How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective
Xiao Luo, Changhu Wang, Yizhou Sun et al.
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads
Ingeol Baek, Hwan Chang, Sunghyun Ryu et al.
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
Herun Wan, Minnan Luo, Zihan Ma et al.
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison
Jiayin Wang, Zhiqiang Guo, Weizhi Ma et al.
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
Abdelrahman Abdallah, Bhawna Piryani, Jamshid Mozafari et al.
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
Minglai Yang, Ethan Huang, Liang Zhang et al.