Papers
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
Jack Gallifant, Shan Chen, Pedro José Ferreira Moreira et al.
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim et al.
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
Erik Miehling, Manish Nagireddy, Prasanna Sattigeri et al.
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
Kanishka Misra, Kyle Mahowald
Language Models Linearly Represent Sentiment
Curt Tigges, Oskar J. Hollinsworth, Atticus Geiger et al.
Language Models Still Struggle to Zero-shot Reason about Time Series
Mike A Merrill, Mingtian Tan, Vinayak Gupta et al.
Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction
Chang Oh Yoon, Wonbeen Lee, Seokhwan Jang et al.
Language Resources From Prominent Born-Digital Humanities Texts are Still Needed in the Age of LLMs
Natalie Hervieux, Peiran Yao, Susan Brown et al.
Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang et al.
LaRA: Large Rank Adaptation for Speech and Text Cross-Modal Learning in Large Language Models
Zuhair Hasan Shaik, Pradyoth Hegde, Prashant Bannulmath et al.
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
Junhua Liu, Tan Yong Keat, Bin Fu et al.
LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights
Odysseas S. Chlapanis, Dimitrios Galanis, Ion Androutsopoulos
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan et al.
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
Xueyang Feng, Zhi-Yuan Chen, Yujia Qin et al.
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
Tianxiang Hu, Pei Zhang, Baosong Yang et al.
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
Jesse Roberts, Kyle Moore, Douglas Fisher et al.
Large Language Models Are Challenged by Habitat-Centered Reasoning
Sadaf Ghaffari, Nikhil Krishnaswamy
Large Language Models are In-context Teachers for Knowledge Reasoning
Jiachen Zhao, Zonghai Yao, Zhichao Yang et al.
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
Yue Zhou, Henry Peng Zou, Barbara Di Eugenio et al.
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
Peng Hu, Changjiang Gao, Ruiqi Gao et al.
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
Fenglin Liu, Zheng Li, Hongjian Zhou et al.
Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation
Jae-Woo Park, Seong-Jin Park, Hyun-Sik Won et al.
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
Kun Luo, Minghao Qin, Zheng Liu et al.
Large Language Models Can Be Contextual Privacy Protection Learners
Yijia Xiao, Yiqiao Jin, Yushi Bai et al.