Papers
(Fact) Check Your Bias
Eivind Morris Bakke, Nora Winger Heggelund
FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages
Evgenii Nikolaev, Ivan Bondarenko, Islam Aushev et al.
Fact from Fiction: Finding Serialized Novels in Newspapers
Pascale Feldkamp, Alie Lassche, Katrine Frøkjær Baunvig et al.
FactLens: Benchmarking Fine-Grained Fact Verification
Kushan Mitra, Dan Zhang, Sajjadur Rahman et al.
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
Denitsa Saynova, Lovisa Hagström, Moa Johansson et al.
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
Hichem Ammar Khodja, Frederic Bechet, Quentin Brabant et al.
FADE: Why Bad Descriptions Happen to Good Features
Bruno Puri, Aakriti Jain, Elena Golimblevskaia et al.
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation
Sreyan Ghosh, Mohammad Sadegh Rasooli, Michael Levit et al.
FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes
Janki Atul Nawale, Mohammed Safi Ur Rahman Khan, Janani D et al.
Fairness Beyond Performance: Revealing Reliability Disparities Across Groups in Legal NLP
Santosh T.y.s.s, Irtiza Chowdhury
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
Angelina Wang, Michelle Phan, Daniel E. Ho et al.
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
Yichen Li, Zhiting Fan, Ruizhe Chen et al.
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
Xin Quan, Marco Valentino, Louise A. Dennis et al.
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
Qinggang Zhang, Zhishang Xiang, Yilin Xiao et al.
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency
Seonglae Cho, Harryn Oh, Donghyun Lee et al.
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
Yilun Zheng, Sha Li, Fangkun Wu et al.
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
Enfa Fane, Mihai Surdeanu, Eduardo Blanco et al.
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
He Zhu, Yifan Ding, Yicheng Tao et al.
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Andrei C. Coman, Christos Theodoropoulos, Marie-Francine Moens et al.
FastDraft: How to Train Your Draft
Ofir Zafrir, Igor Margulis, Dorin Shteyman et al.
Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree
Huanran Zheng, Xiaoling Wang
FastMCTS: A Simple Sampling Strategy for Data Synthesis
Peiji Li, Kai Lv, Yunfan Shao et al.
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering
Songtao Jiang, Chenyi Zhou, Yan Zhang et al.
Fathom: A Fast and Modular RAG Pipeline for Fact-Checking
Farrukh Bin Rashid, Saqib Hakak