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
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
CVPR 2026
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
ACL 2026
WSDPO: A Generative Word Sense Disambiguation Framework with Chain-of-Thought and Preference Optimization
ACL 2026
YNU-HPCC at SemEval-2026 Task 6: Hierarchical Taxonomy Prompting and CoT Distillation for Political Clarity Classification
SemEval 2026
𝒜3: Automatic Alignment Framework for Attributed Text Generation
ACL 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
ACL 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
NAACL 2025
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
ICLR 2025
Aligning Language Models with Demonstrated Feedback
ICLR 2025
Aligning LLMs with Individual Preferences via Interaction
COLING 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
NAACL 2025
Anak Baik: A Low-Cost Approach to Curate Indonesian Ethical and Unethical Instructions
COLING 2025
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
EMNLP 2025
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
ACL 2025
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
ICLR 2025
A Survey of Post-Training Scaling in Large Language Models
ACL 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
ACL 2025
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
AAAI 2025
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning
ACL 2025
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
ICLR 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
ACL 2025
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors
ACL 2025