Papers
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
Pranab Sahoo, Prabhash Meharia, Akash Ghosh et al.
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang, Xiusi Chen, Bowen Jin et al.
A Comprehensive Survey on Document-Level Information Extraction
Hanwen Zheng, Sijia Wang, Lifu Huang
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites
Anna Hätty, Dragan Milchevski, Kersten Döring et al.
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics
Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
Activation Scaling for Steering and Interpreting Language Models
Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson et al.
Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization
Dongyuan Li, Ying Zhang, Zhen Wang et al.
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios
Sabit Hassan, Anthony Sicilia, Malihe Alikhani
Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
Kevin Bowden, Yue Fan, Winson Chen et al.
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities
Ying Su, Zhan Ling, Haochen Shi et al.
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
Wanyun Cui, Qianle Wang
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
Zihao Zeng, Yibo Miao, Hongcheng Gao et al.
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
Rongchen Guo, Isar Nejadgholi, Hillary Dawkins et al.
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
Fırat Öncel, Matthias Bethge, Beyza Ermis et al.
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
Anum Afzal, Ribin Chalumattu, Florian Matthes et al.
Adapting LLM Predictions in In-Context Learning with Data Priors
Javier Chiyah-Garcia, Prasoon Goyal, Michael Johnston et al.
Adapting LLMs for Structured Natural Language API Integration
Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind et al.
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning
Mayi Xu, Yongqi Li, Ke Sun et al.
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis
Qingcheng Zeng, Mingyu Jin, Rob Voigt
Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models
Gunjan Balde, Soumyadeep Roy, Mainack Mondal et al.
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
Youna Kim, Hyuhng Joon Kim, Cheonbok Park et al.
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
Esteban Garces Arias, Julian Rodemann, Meimingwei Li et al.