Co-occurring keywords · papers mentioning both
large language model
(243)
reinforcement learning
(106)
direct preference optimization
(44)
reinforcement learning from human feedback
(36)
chain-of-thought reasoning
(31)
multimodal large language model
(31)
preference optimization
(29)
vision-language model
(28)
language model
(26)
instruction tuning
(26)
Papers
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback
EMNLP 2025
Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models
EMNLP 2025
PokerBench: Training Large Language Models to Become Professional Poker Players
AAAI 2025
Predicate-Guided Generation for Mathematical Reasoning
EMNLP 2025
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
AAAI 2025
Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue
NAACL 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
EMNLP 2025
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification
NAACL 2025
Proactive Guidance of Multi-Turn Conversation in Industrial Search
ACL 2025
PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations
ACL 2025
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
ICLR 2025
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment
ACL 2025
Reasoning-Based Approach with Chain-of-Thought for Alzheimer’s Detection Using Speech and Large Language Models
Interspeech 2025
ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models
ICCV 2025
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
EMNLP 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
EMNLP 2025
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
ACL 2025
Retrieval-augmented GUI Agents with Generative Guidelines
EMNLP 2025
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
ACL 2025
Robust Multimodal Large Language Models Against Modality Conflict
ICML 2025
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
ICLR 2025
RuleR: Improving LLM Controllability by Rule-based Data Recycling
NAACL 2025
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
ACL 2025
Scalable Vision Language Model Training via High Quality Data Curation
ACL 2025