孙 紫怡

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upvoted 2 papers about 1 month ago

The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

Paper • 2606.29526 • Published Jun 28 • 170

Beyond IID: How General Are Tabular Foundation Models, Really?

Paper • 2606.30410 • Published Jun 29 • 44

upvoted 2 papers 2 months ago

αDepth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion

Paper • 2606.00386 • Published May 29 • 8

UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents

Paper • 2605.29534 • Published May 28 • 15

upvoted 6 papers 3 months ago

Swift Sampling: Selecting Temporal Surprises via Taylor Series

Paper • 2605.22678 • Published May 21 • 11

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload

Paper • 2605.20179 • Published May 19 • 5

Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models

Paper • 2605.09681 • Published May 10 • 10

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence

Paper • 2605.12882 • Published May 13 • 274

From Context to Skills: Can Language Models Learn from Context Skillfully?

Paper • 2604.27660 • Published May 3 • 171

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

Paper • 2604.28139 • Published Apr 30 • 43

upvoted 2 papers 4 months ago

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale

Paper • 2604.04771 • Published Apr 6 • 125

Adam's Law: Textual Frequency Law on Large Language Models

Paper • 2604.02176 • Published Apr 2 • 511

upvoted 2 papers 5 months ago

Demystifing Video Reasoning

Paper • 2603.16870 • Published Mar 17 • 373

Heterogeneous Agent Collaborative Reinforcement Learning

Paper • 2603.02604 • Published Mar 3 • 199