← Learning Types
Deep Learning › Learning Types ›

Large Language Models

15 directly classified papers

Papers per year

Papers

Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025
Beyond Facts: Evaluating Intent Hallucination in Large Language Models ACL 2025
Personalized Text Generation with Contrastive Activation Steering ACL 2025
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents ACL 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025
A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications EMNLP 2025
X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning EMNLP 2025
Token-level Proximal Policy Optimization for Query Generation EMNLP 2025
Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024
Deloitte at #SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself? ACL 2024
HBUT at #SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model ACL 2024
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023
Ranking LLM-Generated Loop Invariants for Program Verification EMNLP 2023
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency EMNLP 2023
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models EMNLP 2022