RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
Paper
• 2508.00222 • Published
• 6 •
2
Ting-En Lin
tnlin
AI & ML interests
Self-Evolution LLM, Multimodal Agent
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Debate Helps Weak-to-Strong Generalization
Paper
• 2501.13124 • Published
• 7 •
2
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis
Paper
• 2501.04561 • Published
• 17 •
4
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis
Paper
• 2501.04561 • Published
• 17 •
4
commented 7 papers over 1 year ago
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
Paper
• 2411.06208 • Published
• 21 •
8
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper
• 2410.08815 • Published
• 47 •
2
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Paper
• 2410.07095 • Published
• 8 •
2
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning
Paper
• 2409.14674 • Published
• 42 •
6
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper
• 2409.05840 • Published
• 49 •
3
Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper
• 2407.14507 • Published
• 46 •
9
Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper
• 2407.14507 • Published
• 46 •
9