Papers
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States
Jinwen He, Yujia Gong, Zijin Lin et al.
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko et al.
LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures
Chenghao Xu, Guangtao Lyu, Jiexi Yan et al.
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang et al.
LLM Performance Predictors are good initializers for Architecture Search
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan et al.
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Zechun Liu, Barlas Oguz, Changsheng Zhao et al.
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
Tingting Liang, Chenxin Jin, Lingzhi Wang et al.
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi, Jason Eisner, Corby Rosset et al.
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
Jinyuan Li, Han Li, Di Sun et al.
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Yiqi Liu, Nafise Moosavi, Chenghua Lin
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback
Wen Lai, Mohsen Mesgar, Alexander Fraser
LLMs cannot find reasoning errors, but can correct them given the error location
Gladys Tyen, Hassan Mansoor, Victor Carbune et al.
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma
Jana Juroš, Laura Majer, Jan Snajder
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner et al.
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
Hanzhang Zhou, Junlang Qian, Zijian Feng et al.
LLMs’ morphological analyses of complex FST-generated Finnish words
Anssi Moisio, Mathias Creutz, Mikko Kurimo
L+M-24: Building a Dataset for Language+Molecules @ ACL 2024
Carl Edwards, Qingyun Wang, Lawrence Zhao et al.
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Shitao Xiao, Zheng Liu, Peitian Zhang et al.
LMDX: Language Model-based Document Information Extraction and Localization
Vincent Perot, Kai Kang, Florian Luisier et al.
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition
Peng Xia, Di Xu, Ming Hu et al.
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models
Igor Tufanov, Karen Hambardzumyan, Javier Ferrando et al.
Locally Biased Transformers Better Align with Human Reading Times
Andrea De Varda, Marco Marelli
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems
Xiao Yu, Yunan Lu, Zhou Yu
Locating and Extracting Relational Concepts in Large Language Models
Zijian Wang, Britney Whyte, Chang Xu