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
Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model
Interspeech 2025
How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources
EMNLP 2025
How to Train Long-Context Language Models (Effectively)
ACL 2025
Improve LLM-as-a-Judge Ability as a General Ability
EMNLP 2025
Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
ACL 2025
Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study
ACL 2025
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
EMNLP 2025
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
COLING 2025
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
ACL 2025
InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages
ACL 2025
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs
ICCV 2025
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
ICLR 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior
ACL 2025
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
ICLR 2025
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
ICLR 2025
JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling
EMNLP 2025
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance
ACL 2025
KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation
ACL 2025
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
ICLR 2025
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
ACL 2025
L3Ms — Lagrange Large Language Models
ICLR 2025
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
EMNLP 2025
Language Models Can Easily Learn to Reason from Demonstrations
EMNLP 2025
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025