Papers
6,952 papers found
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Jiwon Jeong, Hyeju Jang, Hogun Park
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Peng Hu, Sizhe Liu, Changjiang Gao et al.
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
Yiyi Chen, Qiongxiu Li, Russa Biswas et al.
Large Language Models Are Overparameterized Text Encoders
Thennal D K, Tim Fischer, Chris Biemann
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
Yilun Hao, Yongchao Chen, Yang Zhang et al.
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu, Kaize Ding
Large Language Models for Persian-English Idiom Translation
Sara Rezaeimanesh, Faezeh Hosseini, Yadollah Yaghoobzadeh
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias
Andres Algaba, Carmen Mazijn, Vincent Holst et al.
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
Jannik Brinkmann, Chris Wendler, Christian Bartelt et al.
Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights
Yang Liu, Lan Lan, Jiahuan Cao et al.
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra et al.
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
Joel Niklaus, Lucia Zheng, Arya D. McCarthy et al.
LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
Zhiwen Ruan, Yixia Li, He Zhu et al.
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
Yang Ouyang, Hengrui Gu, Shuhang Lin et al.
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
Kangjun Noh, Baekryun Seong, Hoyoon Byun et al.
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs
Sumin An, Junyoung Sung, Wonpyo Park et al.
Learning Language through Grounding
Freda Shi, Ziqiao Ma, Jiayuan Mao et al.
Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
Xuanqing Liu, Luyang Kong, Wei Niu et al.
Learning Low-Resource Languages Through NLP-Driven Flashcards: A Case Study of Hokkien in Language Learning Applications
Tai Zhang, Lucie Yang, Erin Chen et al.
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation
Takyoung Kim, Kyungjae Lee, Young Rok Jang et al.
Learning to Search Effective Example Sequences for In-Context Learning
Xiang Gao, Ankita Sinha, Kamalika Das
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
Chengyuan Liu, Shihang Wang, Lizhi Qing et al.
Learning to Substitute Words with Model-based Score Ranking
Hongye Liu, Ricardo Henao
Learning to Summarize from LLM-generated Feedback
Hwanjun Song, Taewon Yun, Yuho Lee et al.
Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi