Papers
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation
Sheng Liang, Hang Lv, Zhihao Wen et al.
AdaptMerge: Inference Time Adaptive Visual and Language-Guided Token Merging for Efficient Large Multimodal Models
Zahidul Islam, Mrigank Rochan
ADAPT–MTU HAI at PalmX 2025: Leveraging Full and Parameter‐Efficient LLM Fine‐Tuning for Arabic Cultural QA
Shehenaz Hossain, Haithem Afli
ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for Arabic Islamic Inheritance Reasoning
Shehenaz Hossain, Haithem Afli
AdaptThink: Reasoning Models Can Learn When to Think
Jiajie Zhang, Nianyi Lin, Lei Hou et al.
AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation
Yilong Lai, Jialong Wu, Zhenglin Wang et al.
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
Weixiang Zhao, Jiahe Guo, Yulin Hu et al.
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models
Fengyuan Sun, Leqi Shen, Hui Chen et al.
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
Zhuo Li, Yuhao Du, Xiaoqi Jiao et al.
AdDriftBench: A Benchmark for Detecting Data Drift and Label Drift in Short Video Advertising
Yinghao Song, Xiangji Zeng, Shuai Cui et al.
A* Decoding for Machine Translation in LLMs - SRPOL Participation in WMT2025
Adam Dobrowolski, Paweł Przewłocki, Paweł Przybysz et al.
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang et al.
A Disaggregated Dataset on English Offensiveness Containing Spans
Pia Pachinger, Janis Goldzycher, Anna M. Planitzer et al.
Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models
Abubakr Mohamed, Hamdy Mubarak
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
Qi Gou, Zehua Xia, Li Juan et al.
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Wei Wang, Zhaowei Li, Qi Xu et al.
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
Zhihan Zhang, Renze Lou, Fangkai Jiao et al.
Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent
Giulia Pucci, Leonardo Ranaldi
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective
Pengfei He, Zitao Li, Yue Xing et al.
Adversarial Attacks Against Automated Fact-Checking: A Survey
Fanzhen Liu, Sharif Abuadbba, Kristen Moore et al.
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Fenghua Weng, Jian Lou, Jun Feng et al.
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation
Kaustubh Dhole, Ramraj Chandradevan, Eugene Agichtein
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization
Mukur Gupta, Nikhil Reddy Varimalla, Nicholas Deas et al.