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12 张海报 · 由真实论文生成
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PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
ICML 2026
OPT-AIL: Provably & Practically Efficient Adversarial Imitation Learning with General Function Approximation
NeurIPS 2024
TD-GFN: Beyond the Proxy — Trajectory-Distilled Guidance for Offline GFlowNet Training
ICML 2026
Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies (OMAD)
ICML 2026
Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling
IEEE TMC 2026
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
ACL Findings 2025
SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design
ASP-DAC 2026
A Rate-Distortion View of Uncertainty Quantification
Preprint, 2024
Comparing Optimization Targets for Contrast-Consistent Search
Preprint, 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
ICML 2023
Transformers, parallel computation, and logarithmic depth
ICML 2024
HEMA — Delay-Constrained Scheduling for Dynamic Users
MobiHoc 2025
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