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Deep Learning
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Large Language Models
15 directly classified papers
Papers per year
2022: 1
2023: 3
2024: 3
2025: 8
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
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