Papers
A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation
Yang Zhong, Diane Litman
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
David Mildenberger, Paul Hager, Daniel Rueckert et al.
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
Ibrahim Alabdulmohsin, Andreas Peter Steiner
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
Juan Yeo, Soonwoo Cha, Jiwoo Song et al.
A-TASC: Asian TED-Based Automatic Subtitling Corpus
Yuhan Zhou, Naoki Yoshinaga
ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
Xiaokun Feng, Shiyu Hu, Xuchen Li et al.
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit
Yang Li, Junfan Chen, Feng Xue et al.
A Template Is All You Meme
Luke Bates, Peter Ebert Christensen, Preslav Nakov et al.
A Testset for Context-Aware LLM Translation in Korean-to-English Discourse Level Translation
Minjae Lee, Youngbin Noh, Seung Jin Lee
A Text-Based Recommender System that Leverages Explicit Affective State Preferences
Tonmoy Hasan, Razvan Bunescu
A Text Embedding Model with Contrastive Example Mining for Point-of-Interest Geocoding
Hibiki Nakatani, Hiroki Teranishi, Shohei Higashiyama et al.
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
Zhijie Nie, Richong Zhang, Zhanyu Wu
ATGen: A Framework for Active Text Generation
Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun et al.
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation
Mohammed Sabry Mohammed, Mohammed Khalil
Athar at QIAS2025: LLM-based Question Answering Systems for Islamic Inheritance and Classical Islamic Knowledge
Yossra Noureldien, Hassan Suliman, Farah Attallah et al.
A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
Hayate Funakura, Hyunsoo Kim, Koji Mineshima
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
Yu Huang, Zixin Wen, Yuejie Chi et al.
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
Saptarshi Mandal, Xiaojun Lin, Rayadurgam Srikant
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation
Daniel Freedman, Eyal Rozenberg, Alex Bronstein
A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models
Annaliese Bissell, Ella Paulin, Andrew Piper
A Theoretical Framework For Overfitting In Energy-based Modeling
Giovanni Catania, Aurélien Decelle, Cyril Furtlehner et al.
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano et al.
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Chungpa Lee, Jeongheon Oh, Kibok Lee et al.
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
Gaspard Lambrechts, Damien Ernst, Aditya Mahajan
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin M. Baker et al.