Papers
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
Ruihao Gong, Yang Yong, Shiqiao Gu et al.
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Mervat Abassy, Kareem Elozeiri, Alexander Aziz et al.
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
Zijin Feng, Luyang Lin, Lingzhi Wang et al.
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye et al.
LLM Explainability via Attributive Masking Learning
Oren Barkan, Yonatan Toib, Yehonatan Elisha et al.
LLM generated responses to mitigate the impact of hate speech
Jakub Podolak, Szymon Łukasik, Paweł Balawender et al.
LLM Internal States Reveal Hallucination Risk Faced With a Query
Ziwei Ji, Delong Chen, Etsuko Ishii et al.
LLM Questionnaire Completion for Automatic Psychiatric Assessment
Gony Rosenman, Talma Hendler, Lior Wolf
LLMs Are Prone to Fallacies in Causal Inference
Nitish Joshi, Abulhair Saparov, Yixin Wang et al.
LLMs Are Zero-Shot Context-Aware Simultaneous Translators
Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura
LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems
Jiong Yu, Sixing Wu, Jiahao Chen et al.
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
Jiahao Ying, Mingbao Lin, Yixin Cao et al.
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao et al.
LLMs Cannot (Yet) Match the Specificity and Simplicity of Online Communities in Long Form Question Answering
Kris-Fillip Kahl, Tolga Buz, Russa Biswas et al.
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer et al.
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin et al.
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study
Van Bach Nguyen, Paul Youssef, Christin Seifert et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J.b. Liu, Nicolas Boulle, Raphaël Sarfati et al.
LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification
Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko
LLMs to the Rescue: Explaining DSA Statements of Reason with Platform’s Terms of Services
Marco Aspromonte, Andrea Ferraris, Federico Galli et al.
LLM-supertagger: Categorial Grammar Supertagging via Large Language Models
Jinman Zhao, Gerald Penn
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Akash Gupta, Ivaxi Sheth, Vyas Raina et al.
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models
Dustin Wright, Arnav Arora, Nadav Borenstein et al.
LLoCO: Learning Long Contexts Offline
Sijun Tan, Xiuyu Li, Shishir G Patil et al.