Papers
Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots
Sarah E. Finch, Ellie S. Paek, Ikseon Choi et al.
Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details?
Parth Thakkar, Ankush Agarwal, Prasad Kasu et al.
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
Ekaterina Kochmar, Kaushal Maurya, Kseniia Petukhova et al.
Findings of the IWSLT 2025 Evaluation Campaign
Idris Abdulmumin, Victor Agostinelli, Tanel Alumäe et al.
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization
Yao Xiao, Hai Ye, Linyao Chen et al.
FineCite: A Novel Approach For Fine-Grained Citation Context Analysis
Lasse M. Jantsch, Dong-Jae Koh, Seonghwan Yoon et al.
Fine-Grained Constraint Generation-Verification for Improved Instruction-Following
Zhixiang Liang, Zhenyu Hou, Xiao Wang
Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation
Jingxuan Han, Zhendong Mao, Yi Liu et al.
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
Chaoqun Cui, Liangbin Huang, Shijing Wang et al.
FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving
Guizhen Chen, Weiwen Xu, Hao Zhang et al.
Fine-Tuned Transformer-Based Weighted Soft Voting Ensemble for Persuasion Technique Classification in Slavic Languages
Mahshar Yahan, Sakib Sarker, Mohammad Islam
Fine-Tune on the Format: First Improving Multiple-Choice Evaluation for Intermediate LLM Checkpoints
Alec Bunn, Sarah Wiegreffe, Ben Bogin
Fine-Tuning Large Language Models for Relation Extraction within a Retrieval-Augmented Generation Framework
Sefika Efeoglu, Adrian Paschke
Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records
Ben Holgate, Joe Davies, Shichao Fang et al.
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Kathleen C. Fraser, Hillary Dawkins, Isar Nejadgholi et al.
Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
Haritz Puerto, Tilek Chubakov, Xiaodan Zhu et al.
Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations
Paolo Mainardi, Federico Garcea, Alberto Barrón-Cedeño
Fine-tuning Whisper Tiny for Swahili ASR: Challenges and Recommendations for Low-Resource Speech Recognition
Avinash Kumar Sharma, Manas Pandya, Arpit Shukla
Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking
Yifan Zhang, Wenyu Du, Dongming Jin et al.
FINKRX: Establishing Best Practices for Korean Financial NLP
Guijin Son, Hyunwoo Ko, Hanearl Jung et al.
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Junyu Luo, Zhizhuo Kou, Liming Yang et al.
FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness
Yuanjian Xu, Jianing Hao, Kunsheng Tang et al.
FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion Classification
Wondimagegnhue Tufa, Fadi Hassan, Evgenii Migaev et al.
FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMs
Wondimagegnhue Tufa, Fadi Hassan, Guillem Collell et al.