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07/25/2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
Theoretical guarantees in reinforcement learning (RL) are known to suffe...
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06/06/2023
Impact of Large Language Models on Generating Software Specifications
Software specifications are essential for ensuring the reliability of so...
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06/05/2023
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis
Decompilation aims to recover the source code form of a binary executabl...
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05/22/2023
LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space
In recent years, large language models (LMs) have achieved remarkable pr...
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02/03/2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Automated Program Repair (APR) improves software reliability by generati...
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10/09/2022
The Role of Coverage in Online Reinforcement Learning
Coverage conditions – which assert that the data logging distribution ad...
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07/07/2021
Group Sampling for Unsupervised Person Re-identification
Unsupervised person re-identification (re-ID) remains a challenging task...
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01/21/2021
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...
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01/01/2021
Quantifying spatial homogeneity of urban road networks via graph neural networks
The spatial homogeneity of an urban road network (URN) measures whether ...
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11/17/2020
Multi-SQL: An extensible multi-model data query language
Big data management aims to establish data hubs that support data in mul...
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12/23/2019
