Papers
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
Weixiang Zhao, Yulin Hu, Yang Deng et al.
Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models
Zahra Delbari, Mohammad Taher Pilehvar
Beyond Browsing: API-Based Web Agents
Yueqi Song, Frank F. Xu, Shuyan Zhou et al.
Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations
Yuan Liang, Massimo Poesio, Roonak Rezvani
Beyond cognacy
Gerhard Jäger
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
Yin Hua, Zhiqiang Liu, Mingyang Chen et al.
Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models
Gerard Christopher Yeo, Kokil Jaidka
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
Yingfeng Luo, Tong Zheng, Yongyu Mu et al.
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions
Matthias Orlikowski, Jiaxin Pei, Paul Röttger et al.
Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
Yeyong Yu, Runsheng Yu, Haojie Wei et al.
Beyond Facts: Evaluating Intent Hallucination in Large Language Models
Yijie Hao, Haofei Yu, Jiaxuan You
Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
Chris Samarinas, Alexander Krubner, Alireza Salemi et al.
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
Haochun Wang, Sendong Zhao, Jingbo Wang et al.
Beyond Generalization :Evaluating Multilingual LLMs for Yorùbá Animal Health Translation
Godwin Adegbehingbe, Anthony Soronnadi, Ife Adebara et al.
Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification
Xiaoyue Wang, Xin Liu
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong et al.
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
Miguel Romero Calvo, Shuoyang Ding, Corey D Barrett et al.
Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load
Junzhi Han, Jinho D. Choi
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
Guoqiang Gong, Jiaxing Wang, Jin Xu et al.
Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
Millicent Ochieng, Varun Gumma, Sunayana Sitaram 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 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-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
Peiwen Yuan, Yueqi Zhang, Shaoxiong Feng et al.
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
Chengwei Qin, Wenhan Xia, Fangkai Jiao et al.