Papers
Unleashing the Potential of Large Language Models through Spectral Modulation
Peng Sun, Yao Zhu, Yunjian Zhang et al.
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
Shitian Zhao, Renrui Zhang, Xu Luo et al.
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
Zhou Zhang, Dongzeng Tan, Jiaan Wang et al.
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
Siyi Liu, Yang Li, Jiang Li et al.
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Lifu Tu, Semih Yavuz, Jin Qu et al.
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
Heshen Zhan, Congliang Chen, Tian Ding et al.
Unlocking Continual Learning Abilities in Language Models
Wenyu Du, Shuang Cheng, Tongxu Luo et al.
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
Yifei Yuan, Yang Deng, Anders Søgaard et al.
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
Zhepeng Wang, Runxue Bao, Yawen Wu et al.
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
Tianyi Men, Pengfei Cao, Zhuoran Jin et al.
Unlocking the Potential of Model Merging for Low-Resource Languages
Mingxu Tao, Chen Zhang, Quzhe Huang et al.
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
Zhanyue Qin, Haochuan Wang, Deyuan Liu et al.
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
Weize Liu, Yinlong Xu, Hongxia Xu et al.
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness
Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella et al.
Unsupervised Discrete Representations of American Sign Language
Artem Abzaliev, Rada Mihalcea
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
Florian Boudin, Akiko Aizawa
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
Brendan King, Jeffrey Flanigan
Unsupervised Extraction of Dialogue Policies from Conversations
Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien
Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance
Jiyuan Liu, Hegang Chen, Chunjiang Zhu et al.
Unsupervised Human Preference Learning
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai et al.
Unsupervised Named Entity Disambiguation for Low Resource Domains
Debarghya Datta, Soumajit Pramanik
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
Qiuhai Zeng, Zimeng Qiu, Dae Yon Hwang et al.
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
Xin Zhou, Ping Nie, Yiwen Guo et al.
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
Yifei Wang, Yuheng Chen, Wanting Wen et al.
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
Kwangwook Seo, Jinyoung Yeo, Dongha Lee