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Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
Arxiv
1+阅读 · 4月3日
Example-Free Learning of Regular Languages with Prefix Queries
Example-Free Learning of Regular Languages with Prefix Queries
Arxiv
0+阅读 · 4月2日
Joint Modeling of Spatial Dependencies Across Multiple Subjects in Multiplexed Tissue Imaging
Arxiv
0+阅读 · 4月3日
FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention
Arxiv
0+阅读 · 4月3日
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism
Arxiv
0+阅读 · 4月3日
Token-Driven GammaTune: Adaptive Calibration for Enhanced Speculative Decoding
Token-Driven GammaTune: Adaptive Calibration for Enhanced Speculative Decoding
Arxiv
0+阅读 · 4月3日
Inference-Time Scaling for Generalist Reward Modeling
Arxiv
0+阅读 · 4月3日
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Arxiv
0+阅读 · 4月3日
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification
Arxiv
0+阅读 · 4月3日
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
Arxiv
0+阅读 · 4月3日
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
Arxiv
0+阅读 · 4月3日
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators
Arxiv
0+阅读 · 4月3日
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Arxiv
0+阅读 · 4月3日
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Arxiv
0+阅读 · 4月3日
Proximal Causal Inference for Conditional Separable Effects
Proximal Causal Inference for Conditional Separable Effects
Arxiv
0+阅读 · 4月3日
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