p1: Better Prompt Optimization with Fewer Prompts
Paper • 2604.08801 • Published • 9
Kuo-Hsin Tu
dapumptu
AI & ML interests
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upvoted a paper 2 days ago
p1: Better Prompt Optimization with Fewer Prompts liked a dataset 2 days ago
meituan-longcat/General365_Public upvoted a paper 2 days ago
Narrative-Driven Paper-to-Slide Generation via ArcDeckOrganizations
upvoted 5
papers 2 days ago
Narrative-Driven Paper-to-Slide Generation via ArcDeck
Paper • 2604.11969 • Published • 7
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
Paper • 2604.13010 • Published • 12
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Paper • 2604.14164 • Published • 34
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
Paper • 2511.15915 • Published • 3
upvoted 5
papers 7 days ago
Terminal Agents Suffice for Enterprise Automation
Paper • 2604.00073 • Published • 97
InCoder-32B-Thinking: Industrial Code World Model for Thinking
Paper • 2604.03144 • Published • 231
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Paper • 2604.02721 • Published • 364
Adam's Law: Textual Frequency Law on Large Language Models
Paper • 2604.02176 • Published • 485
Kronos: A Foundation Model for the Language of Financial Markets
Paper • 2508.02739 • Published • 24
upvoted 10
papers about 1 month ago
Efficient Exploration at Scale
Paper • 2603.17378 • Published • 14
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Paper • 2603.19220 • Published • 66
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 58
InCoder-32B: Code Foundation Model for Industrial Scenarios
Paper • 2603.16790 • Published • 308
Qwen3-Coder-Next Technical Report
Paper • 2603.00729 • Published • 64
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 75
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
Paper • 2603.13985 • Published • 10
FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
Paper • 2603.08262 • Published • 42
Memento-Skills: Let Agents Design Agents
Paper • 2603.18743 • Published • 58
Hyperagents
Paper • 2603.19461 • Published • 50