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Large Language Models

6,405 papers

Papers per year

Papers

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models ACL 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners ACL 2024
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages ACL 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails ACL 2024
Exploring Hybrid Question Answering via Program-based Prompting ACL 2024
Uncertainty Aware Learning for Language Model Alignment ACL 2024
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said ACL 2024
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use ACL 2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion ACL 2024
JumpCoder: Go Beyond Autoregressive Coder via Online Modification ACL 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024
Split and Rephrase with Large Language Models ACL 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024
Cross-Lingual Knowledge Editing in Large Language Models ACL 2024
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models ACL 2024
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024
Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024