Papers
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 Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning
Debora Caldarola, Pietro Cagnasso, Barbara Caputo et al.
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-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 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 Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
Millicent Ochieng, Varun Gumma, Sunayana Sitaram et al.
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.
Beyond Negative Stereotypes – Non-Negative Abusive Utterances about Identity Groups and Their Semantic Variants
Tina Lommel, Elisabeth Eder, Josef Ruppenhofer et al.
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren, Qihang Yu, Ju He et al.
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
Chenze Shao, Fandong Meng, Jie Zhou
Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization
Itai Mondshine, Tzuf Paz-Argaman, Reut Tsarfaty
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
Fanzeng Xia, Hao Liu, Yisong Yue et al.
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
Xiang Xu, Lingdong Kong, Song Wang et al.
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
Peiwen Yuan, Yueqi Zhang, Shaoxiong Feng et al.
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
Zhang Zhang, Guhao Feng, Jian Guan et al.