Papers
Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images
Tianhao Wu, Chuanxia Zheng, Frank Guan et al.
Amodal Depth Anything: Amodal Depth Estimation in the Wild
Zhenyu Li, Mykola Lavreniuk, Jian Shi et al.
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity
Ruiqi Jin, Yongmei Liu, Liping Xiong
A Modal Logic of Optimality (Student Abstract)
James T. Oswald, Brandon Rozek, Thomas Macaulay Ferguson 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
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
Davood Wadi, Marc Fredette
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
Qi Liu, Jingqing Ruan, Hao Li et al.
A Morpheme-Aware Child-Inspired Language Model
Necva Bölücü, Burcu Can
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models
Liyi Zhang, Jake C. Snell, Thomas L. Griffiths
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park, Hyungi Lee, Juho Lee
AMO Sampler: Enhancing Text Rendering with Overshooting
Xixi Hu, Keyang Xu, Bo Liu 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
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
Zeping Li, Xinlong Yang, Ziheng Gao et al.
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
Yejin Lee, Joonghyuk Hahn, Hyeseon Ahn et al.
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Jingru Fei, Kun Yi, Wei Fan et al.
Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs
Eddie L. Ungless, Sunipa Dev, Cynthia L. Bennett et al.
AMPS: ASR with Multimodal Paraphrase Supervision
Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay et al.
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
Sangjun Lee, Seung-taek Woo, Jun-gyu Jin et al.
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
Peitao Han, Lis Pereira, Fei Cheng et al.
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu, Jinfan Liu, Kuangxu Chen et al.
Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
Sahana Ramnath, Anurag Mudgil, Brihi Joshi et al.
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
Zhaowei Zhang, Fengshuo Bai, Qizhi Chen et al.