Papers
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
Pablo Messina, Rene Vidal, Denis Parra et al.
Extracting Epilepsy Patient Data with Llama 2
Ben Holgate, Shichao Fang, Anthony Shek et al.
Extracting Polymer Nanocomposite Samples from Full-Length Documents
Ghazal Khalighinejad, Defne Circi, L. Brinson et al.
Extreme Miscalibration and the Illusion of Adversarial Robustness
Vyas Raina, Samson Tan, Volkan Cevher et al.
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection
Chenye Zhao, Cornelia Caragea
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
Xinran Zhao, Hongming Zhang, Xiaoman Pan et al.
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov et al.
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
Sebastian Joseph, Lily Chen, Jan Trienes et al.
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
Matéo Mahaut, Laura Aina, Paula Czarnowska et al.
Fair Federated Learning with Biased Vision-Language Models
Huimin Zeng, Zhenrui Yue, Yang Zhang et al.
Faithful Chart Summarization with ChaTS-Pi
Syrine Krichene, Francesco Piccinno, Fangyu Liu et al.
Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei, Liangming Pan et al.
Faithful Persona-based Conversational Dataset Generation with Large Language Models
Pegah Jandaghi, Xianghai Sheng, Xinyi Bai et al.
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
Andrew Zhu, Alyssa Hwang, Liam Dugan et al.
Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics
Zhu Liu, Cunliang Kong, Ying Liu et al.
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection
Yufei Huang, Xu Han, Maosong Sun
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
Zihan Chen, Song Wang, Cong Shen et al.
Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization
Zijian Lei, Dong Qian, William Cheung
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation
Pius Von Däniken, Jan Deriu, Don Tuggener et al.
FBK@IWSLT Test Suites Task: Gender Bias evaluation with MuST-SHE
Beatrice Savoldi, Marco Gaido, Matteo Negri et al.
Feature-Adaptive and Data-Scalable In-Context Learning
Jiahao Li, Quan Wang, Licheng Zhang et al.
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
Alessandro Scirè, Karim Ghonim, Roberto Navigli
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator
Mamadou Keita, Elysabhete Ibrahim, Habibatou Alfari et al.
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods
Yu Sun, Keyu Chen, Shujie Wang et al.
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao et al.