Topic: reproducible

2 stories found

Yesterday

research35

BlockLock: Reproducible LLM Inference with Fixed Batch Geometry

BlockLock introduces a method for ensuring reproducible Large Language Model (LLM) inference by maintaining fixed batch geometry, addressing limitations of existing approaches that either constrain every operation or isolate prefilling. This technique is crucial for applications requiring consistent outputs across different requests in the same batch.

arxiv.orgโ†—

Saturday, October 31, 2026

research35

WebAnything: From the Wild Web to Scalable Agent Environments

WebAnything introduces a method for creating scalable agent environments that can interact with various websites in a consistent and reproducible manner, addressing the challenges of using human-assisted or generatively constructed setups which are site-specific and may differ from actual websites. This innovation is crucial for training and evaluating web agents across diverse online platforms.

arxiv.orgโ†—

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