Papers
184,605 papers found
Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence
Sumanth Balaji, Piyush Mishra, Aashraya Sachdeva et al.
Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances
Jiyun Chun, Eric Fosler-Lussier, Michael White et al.
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
Jie Lian, Zhihao Wu, Jielong Lu et al.
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
Luis Frentzen Salim, Esteban Carlin, Alexandre Morinvil et al.
Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMs
Yuxuan Jiang, Francis Ferraro
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
Shigeng Chen, Linhao Luo, Zhangchi Qiu et al.
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification
Xin Qin, Mengna Liu, Wenjie Wang et al.
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Tianmeng Hu, Yongzheng Cui, Rui Tang et al.
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
Jieting Wang, Huimei Shi, Feijiang Li et al.
Beyond Multiple Choice: Evaluating Steering Vectors for Summarization
Joschka Braun, Carsten Eickhoff, Seyed Ali Bahrainian
Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries
Marion Baranes, Romain Hennequin, Elena V. Epure
Beyond Names: How Grammatical Gender Markers Bias LLM-based Educational Recommendations
Luca Benedetto, Antonia Donvito, Alberto Lucchetti et al.
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim et al.
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
Yuan Wang, Shujian Gao, Jiaxiang Liu et al.
Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
Osama Mohammed Afzal, Preslav Nakov, Tom Hope et al.
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu, Meng Cao, Songcan Chen
Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer
Gaeun Yim, Nayoung Ko, Manasa Bharadwaj
Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle et al.
Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration
Ante Wang, Yujie Lin, Jingyao Liu et al.
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI.
Mohammed Abraar, Raj Dandekar, Rajat Dandekar et al.
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali et al.
Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score
Zhanghao Hu, Qinglin Zhu, Siya Qi et al.
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
Puzhen Su, Haoran Yin, Miao Yongzhu et al.