Papers
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
Jiaxin Bai, Yicheng Wang, Tianshi Zheng et al.
Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justification
Himanshu Gautam Pandey, Akhil Amod, Shivang Kumar
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
Guan-Ting Lin, Cheng-Han Chiang, Hung-yi Lee
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
Muling Wu, Wenhao Liu, Xiaohua Wang et al.
Advancing Post-OCR Correction: A Comparative Study of Synthetic Data
Shuhao Guan, Derek Greene
Adversarial Learning for Multi-Lingual Entity Linking
Bingbing Wang, Bin Liang, Zhixin Bai et al.
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
Pengyu Cheng, Yifan Yang, Jian Li et al.
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
Jingwei Ni, Minjing Shi, Dominik Stammbach et al.
A Fairness Analysis of Human and AI-Generated Student Reflection Summaries
Bhiman Kumar Baghel, Arun Balajiee Lekshmi Narayanan, Michael Miller Yoder
AffilGood: Building reliable institution name disambiguation tools to improve scientific literature analysis
Nicolau Duran-Silva, Pablo Accuosto, Piotr Przybyła et al.
A Fine-grained citation graph for biomedical academic papers: the finding-citation graph
Yuan Liang, Massimo Poesio, Roonak Rezvani
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
Zeyu Liu, Souvik Kundu, Anni Li et al.
AFPQ: Asymmetric Floating Point Quantization for LLMs
Yijia Zhang, Sicheng Zhang, Shijie Cao et al.
AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts
Daniel Braun, Florian Matthes
AGE: Amharic, Ge’ez and English Parallel Dataset
Henok Biadglign Ademtew, Mikiyas Girma Birbo
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
Zehui Chen, Kuikun Liu, Qiuchen Wang et al.
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
Da Yin, Faeze Brahman, Abhilasha Ravichander et al.
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
Wenqi Zhang, Ke Tang, Hai Wu et al.
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng, Mingdao Liu, Rui Lu et al.
Aggregating Impressions on Celebrities and their Reasons from Microblog Posts and Web Search Pages
Hibiki Yokoyama, Rikuto Tsuchida, Kosei Buma et al.
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
Giovanni Monea, Maxime Peyrard, Martin Josifoski et al.
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
EunJeong Hwang, Vered Shwartz, Dan Gutfreund et al.
A Grounded Preference Model for LLM Alignment
Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan et al.
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization
Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li et al.
AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
Giovanni Puccetti, Anna Rogers, Chiara Alzetta et al.