Papers
16,749 papers found
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
Giuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano
Data Interpreter: An LLM Agent for Data Science
Sirui Hong, Yizhang Lin, Bang Liu et al.
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation
Jonibek Mansurov, Akhmed Sakip, Alham Fikri Aji
Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning
Mingfei Lau, Qian Chen, Yeming Fang et al.
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
Tomas Peterka, Matyas Bohacek
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
Shaobo Wang, Xiangqi Jin, Ziming Wang et al.
DavIR: Data Selection via Implicit Reward for Large Language Models
Haotian Zhou, Tingkai Liu, Qianli Ma et al.
DayDreamer at CQs-Gen 2025: Generating Critical Questions through Argument Scheme Completion
Wendi Zhou, Ameer Saadat-Yazdi, Nadin Kökciyan
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
Jihyung Lee, Jin-Seop Lee, Jaehoon Lee et al.
DDxTutor: Clinical Reasoning Tutoring System with Differential Diagnosis-Based Structured Reasoning
Qian Wu, Zheyao Gao, Longfei Gou et al.
DeAL: Decoding-time Alignment for Large Language Models
James Y. Huang, Sailik Sengupta, Daniele Bonadiman et al.
DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate
Martin Gruber, Zlata Kikteva, Ignaz Rutter et al.
Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math
Shaowei Zhang, Deyi Xiong
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
Jizheng Chen, Kounianhua Du, Xinyi Dai et al.
Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
Xiaofeng Zhou, Heyan Huang, Lizi Liao
Debiasing Online Preference Learning via Preference Feature Preservation
Dongyoung Kim, Jinsung Yoon, Jinwoo Shin et al.
Debiasing Static Embeddings for Hate Speech Detection
Ling Sun, Soyoung Kim, Xiao Dong et al.
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
Daiying Zhao, Xinyu Yang, Hang Chen
Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-Agent
Xiaofeng Wang, Zhixin Zhang, Jin Guang Zheng et al.
Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories
Mareike Lisker, Christina Gottschalk, Helena Mihaljević
DECAF: A Dynamically Extensible Corpus Analysis Framework
Max Müller-Eberstein, Rob Van Der Goot, Anna Rogers
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
DecepBench: Benchmarking Multimodal Deception Detection
Ethan Braverman, Vittesh Maganti, Nysa Lalye et al.
Decoder-Only LLMs can be Masked Auto-Encoders
Dan Qiao, Yuan Gao, Zheming Yang et al.
Decoding Actionability: A Computational Analysis of Teacher Observation Feedback
Mayank Sharma, Jason Zhang