Skip to content
conftrace_

Large Language Models

9,341 papers

1
1
1
15
108
287
352
542
1,133
2,676
3,554
671
'10
'20
'25

Papers

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models ACL 2024 OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text ICLR 2024 OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation CVPR 2024 OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs NAACL 2024 Opinion Mining Using Pre-Trained Large Language Models: Identifying the Type, Polarity, Intensity, Expression, and Source of Private States COLING 2024 Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean COLING 2024 Optimizing LLM Based Retrieval Augmented Generation Pipelines in the Financial Domain NAACL 2024 Optimizing the role of human evaluation in LLM-based spoken document summarization systems Interspeech 2024 Order Up! Micromanaging Inconsistencies in ChatGPT-4o Text Analyses EMNLP 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables ACL 2024 OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models SemEval 2024 OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs SemEval 2024 Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP ACL 2024 Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts EACL 2024 OWL: A Large Language Model for IT Operations ICLR 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024 PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024 PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition NeurIPS 2024 PAGED: A Benchmark for Procedural Graphs Extraction from Documents ACL 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs ACL 2024 PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset ACL 2024