Papers
16,749 papers found
AlphaPro at SemEval-2025 Task 8: A Code Generation Approach for Question-Answering over Tabular Data
Anshuman Aryan, Laukik Wadhwa, Kalki Eshwar et al.
ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models
Hao Chen, Haoze Li, Zhiqing Xiao et al.
AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic
Nathaniel Romney Robinson, Shahd Abdelmoneim, Kelly Marchisio et al.
ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models
Yuechi Zhou, Chuyue Zhou, Jianxin Zhang et al.
Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data
Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza et al.
AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
Anastasia Ivanova, Bakaeva Eva, Zoya Volovikova et al.
A Measure of the System Dependence of Automated Metrics
Pius Von Däniken, Jan Milan Deriu, Mark Cieliebak
AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents
Yuxiang Chai, Siyuan Huang, Yazhe Niu et al.
A MISMATCHED Benchmark for Scientific Natural Language Inference
Firoz Shaik, Mobashir Sadat, Nikita Gautam et al.
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu et al.
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
Matteo Melis, Gabriella Lapesa, Dennis Assenmacher
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
Qi Liu, Jingqing Ruan, Hao Li et al.
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
Yang Yao, Xuan Tong, Ruofan Wang et al.
A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering
Le Nguyen Anh Khoa, Thìn Đặng Văn
Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs
Eddie L. Ungless, Sunipa Dev, Cynthia L. Bennett et al.
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems
Đorđe Klisura, Astrid R Bernaga Torres, Anna Karen Gárate-Escamilla et al.
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
Kamer Ali Yuksel, Thiago Castro Ferreira, Mohamed Al-Badrashiny et al.
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
Yimin Deng, Yuxia Wu, Yejing Wang et al.
A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information
Lucky Susanto, Musa Izzanardi Wijanarko, Prasetia Anugrah Pratama et al.
A Multi-persona Framework for Argument Quality Assessment
Bojun Jin, Jianzhu Bao, Yufang Hou et al.
A Mutual Information Perspective on Knowledge Graph Embedding
Jiang Li, Xiangdong Su, Zehua Duo et al.
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
Janghwan Lee, Jiwoong Park, Jinseok Kim et al.
An Adaptive Multi-Threshold Loss and a General Framework for Collaborating Losses in Document-Level Relation Extraction
Huangming Xu, Fu Zhang, Jingwei Cheng
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
Yang Xiao, Peng Tianyi, Rohan Kumar Das et al.
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models
Wenrui Liu, Zhifang Guo, Jin Xu et al.