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cs.CL2024
GAMEBoT: Transparent Assessment of LLM Reasoning in Games
Wenye Lin, Jonathan Roberts, Yunhan Yang +3
Large Language Models (LLMs) are increasingly deployed in real-world applications that demand complex reasoning. To track progress, robust benchmarks are required to evaluate their…
cs.CL2024
Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
Siwei Li, Yifan Yang, Yifei Shen +4
Efficient fine-tuning plays a fundamental role in modern large models, with low-rank adaptation emerging as a particularly promising approach. However, the existing variants of LoR…