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Large Language Models

9,067 papers

Papers per year

Papers

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond NAACL 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting NAACL 2024
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study NAACL 2024
TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models NAACL 2024
Methods, Applications, and Directions of Learning-to-Rank in NLP Research NAACL 2024
Applications of BERT Models Towards Automation of Clinical Coding in Icelandic NAACL 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space NAACL 2024
Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024
How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL 2024
Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models NAACL 2024
METAL: Towards Multilingual Meta-Evaluation NAACL 2024
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models NAACL 2024
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions NAACL 2024
Laying Anchors: Semantically Priming Numerals in Language Modeling NAACL 2024
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation NAACL 2024
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis NAACL 2024
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models NAACL 2024
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison NAACL 2024
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues NAACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer NAACL 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models NAACL 2024