Papers
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang et al.
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Yingyu Liang, Jiangxuan Long, Zhenmei Shi et al.
Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load
Junzhi Han, Jinho D. Choi
Beyond Linear Steering: Unified Multi-Attribute Control for Language Models
Narmeen Fatimah Oozeer, Luke Marks, Fazl Barez et al.
Beyond Literal Token Overlap: Token Alignability for Multilinguality
Katharina Hämmerl, Tomasz Limisiewicz, Jindřich Libovický et al.
Beyond LLMs A Linguistic Approach to Causal Graph Generation from Narrative Texts
Zehan Li, Ruhua Pan, Xinyu Pi
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning
Debora Caldarola, Pietro Cagnasso, Barbara Caputo et al.
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
Marta Gentiloni Silveri, Antonio Ocello
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs
Anirudh Phukan, Divyansh, Harshit Kumar Morj et al.
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
Guoqiang Gong, Jiaxing Wang, Jin Xu et al.
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
Hoang Phan, Lam Tran, Quyen Tran et al.
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen et al.
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm
Jiangjun Peng, Yisi Luo, Xiangyong Cao et al.
Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes.
Chuyan Zhang, Kefan Wang, Yun Gu
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games
Shaokang Dong, Chao Li, Shangdong Yang et al.
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen, Yifei Wang, Zequn Zeng et al.
Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
Wesley Scivetti, Melissa Torgbi, Mollie Shichman et al.
Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
Wesley Scivetti, Melissa Torgbi, Mollie Shichman et al.
Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
Manohar Kaul, Aditya Saibewar, Sadbhavana Babar
Beyond Message Passing: Neural Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
Millicent Ochieng, Varun Gumma, Sunayana Sitaram et al.
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan M. Nguyen, Nishant A Mehta, Cristóbal A Guzmán
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng, Elvis Dohmatob, Pu Yang et al.
Beyond Monolingual Limits: Fine-Tuning Monolingual ASR for Yoruba-English Code-Switching
Oreoluwa Boluwatife Babatunde, Victor Tolulope Olufemi, Emmanuel Bolarinwa et al.
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner et al.