Papers
Extending Context Window of Large Language Models from a Distributional Perspective
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng et al.
External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models
Debela Gemechu, Chris Reed
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Bowen Zhang, Harold Soh
Extracting position titles from unstructured historical job advertisements
Klara Venglarova, Raven Adam, Georg Vogeler
Extracting Prompts by Inverting LLM Outputs
Collin Zhang, John Xavier Morris, Vitaly Shmatikov
Extracting Relations from Ecclesiastical Cultural Heritage Texts
Giulia Cruciani
Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information
Guobiao Zhang, Xueping Peng, Tao Shen et al.
Extrinsic Evaluation of Cultural Competence in Large Language Models
Shaily Bhatt, Fernando Diaz
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze
Özge Alacam, Sanne Hoeken, Sina Zarrieß
F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation
Haiyang Wang, Yuchen Pan, Xin Song et al.
FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
Xiaoqiang Wang, Lingfei Wu, Tengfei Ma et al.
FactAlign: Long-form Factuality Alignment of Large Language Models
Chao-Wei Huang, Yun-Nung Chen
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid et al.
Factuality of Large Language Models: A Survey
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor et al.
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
Han Zhou, Xingchen Wan, Yinhong Liu et al.
Fairness-Aware Online Positive-Unlabeled Learning
Hoin Jung, Xiaoqian Wang
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Adam Wojciechowski, Mateusz Lango, Ondrej Dusek
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
Supriya Manna, Niladri Sett
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
Liqiang Jing, Ruosen Li, Yunmo Chen et al.
FAME: Towards Factual Multi-Task Model Editing
Li Zeng, Yingyu Shan, Zeming Liu et al.
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning
Aaron Xuxiang Tian, Yi Zhao, Congrui Yin et al.
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis et al.