Large Language Models

Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning EMNLP 2024 Rethinking STS and NLI in Large Language Models EACL 2024 Rethinking Tabular Data Understanding with Large Language Models NAACL 2024 Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL 2024 Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024 RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums AAAI 2024 [RETRACTED] Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian EMNLP 2024 Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments ACL 2024 Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP 2024 Retrieval-Augmented Knowledge Integration into Language Models: A Survey ACL 2024 Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever ACL 2024 Retrieval Augmented Spelling Correction for E-Commerce Applications EMNLP 2024 Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models NAACL 2024 Retrieval meets Long Context Large Language Models ICLR 2024 Retrieved In-Context Principles from Previous Mistakes EMNLP 2024 Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024 Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison NAACL 2024 Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation EMNLP 2024 Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ACL 2024 Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods ACL 2024 Reverse-Engineering the Reader EMNLP 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting Annotation of Online Gender-Based Violence COLING 2024