MultiLogBench shows that LLM performance on automated logging varies substantially across programming languages, demonstrating that single-language evidence is insufficient for general claims about model behavior or tool design.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Reliability modeling of depth measurements enables glare-resilient occupancy grid costmaps for mobile robots.
SIMA-Play is a serious game that feeds forest growth simulation data into gameplay and visualizations so players can experience and compare economic versus sustainability outcomes in forest management.
citing papers explorer
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Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs
MultiLogBench shows that LLM performance on automated logging varies substantially across programming languages, demonstrating that single-language evidence is insufficient for general claims about model behavior or tool design.
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Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps
Reliability modeling of depth measurements enables glare-resilient occupancy grid costmaps for mobile robots.
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Demonstrating SIMA-Play: A Serious Game for Forest Management Decision-Making through Board Game and Digital Simulation
SIMA-Play is a serious game that feeds forest growth simulation data into gameplay and visualizations so players can experience and compare economic versus sustainability outcomes in forest management.