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
GenBreak: Red Teaming Text-to-Image Generation Using Large Language Models
CVPR 2026
GenProve: Learning to Generate Text with Fine-Grained Provenance
ACL 2026
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
ACL 2026
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
ACL 2026
HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models
CVPR 2026
How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting
ACL 2026
How multilingual are multilingual LLMs? A case study in Northern Sámi-Finnish Translation
EACL 2026
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
ACL 2026
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
ACL 2026
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
ACL 2026
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
ACL 2026
IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
CVPR 2026
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
ACL 2026
JoPPO: Hierarchical Photography Assessment via Contrastive Joint Conditional Probabilistic Reinforcement Learning
CVPR 2026
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
ACL 2026
Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning
ACL 2026
Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
ACL 2026
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
ACL 2026
Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum
COLT 2026
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
ACL 2026
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models
ACL 2026
Leveraging Verifier-Based Reinforcement Learning in Image Editing
CVPR 2026
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
AAAI 2026
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
ACL 2026