Customer-obsessed science
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November 20, 20254 min readA new evaluation pipeline called FiSCo uncovers hidden biases and offers an assessment framework that evolves alongside language models.
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October 2, 20253 min read
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September 2, 20253 min read
Featured news
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NIST 2023 Workshop on Block Cipher Modes of Operation2023This document defines the Galois Counter Mode with Secure Short Tags (GCM-SST) Authenticated Encryption with Associated Data (AEAD) algorithm. GCM-SST can be used with any keystream generator. Thus GCM-SST is a mode of operation of the Advanced Encryption Standard (AES). The main differences compared to GCM is that GCM-SST uses an additional subkey Q, that fresh subkeys H and Q are derived for each nonce
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ACM 2023 Symposium on Operating Systems Principles (SOSP)2023Graph sampling prepares training samples for graph learning and can dominate the training time. Due to the increasing algorithm diversity and complexity, existing sampling frameworks are insufficient in the generality of expression and the efficiency of execution. To close this gap, we conduct a comprehensive study on 15 popular graph sampling algorithms to motivate the design of gSampler, a general and
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ESEC/FSE 20232023ML-powered code generation aims to assist developers to write code in a more productive manner by intelligently generating code blocks based on natural language prompts. Recently, large pretrained deep learning models have pushed the boundary of code generation and achieved impressive performance.] However, the huge number of model parameters poses a significant challenge to their adoption in a typical
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IROS 20232023Household robots operate in the same space for years. Such robots incrementally build dynamic maps that can be used for tasks requiring remote object localization. However, benchmarks in robot learning often test generalization through inference on tasks in unobserved environments. In an observed environment, locating an object is reduced to choosing from among all object proposals in the environment, which
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Robotics and Automation Letters2023Complex manipulation tasks often require robots with complementary capabilities to collaborate. We introduce a benchmark for LanguagE-Conditioned Multi-robot MAnipulation (LEMMA) focused on task allocation and longhorizon object manipulation based on human language instructions in a tabletop setting. LEMMA features 8 types of procedurally generated tasks with varying degree of complexity, some of which
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