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structure-gen
structure-gen PublicLet Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
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streambench-final-project
streambench-final-project PublicThe final project for Applied Deep Learning (ADL) 2024 @NTU lectured by Prof. Yun-Nung (Vivian) Chen. The project is based on the paper StreamBench: Towards Benchmarking Continuous Improvement of L…
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llm-calibration
llm-calibration PublicOfficial code for the paper "On Calibration of Large Language Models: From Response To Capability"
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i-need-help
i-need-help PublicWe propose a framework for LLMs to seek user support, design evaluation metrics to measure the trade-off between performance boost and user burden, and empirically assess this ability on Text-to-SQ…
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language-matters
language-matters PublicIn which language do these models reason when solving problems presented in different languages? Our findings reveal that, despite multilingual training, LRMs tend to default to reasoning in high-r…
Python 1
Repositories
- llm-calibration Public
Official code for the paper "On Calibration of Large Language Models: From Response To Capability"
- language-matters Public
In which language do these models reason when solving problems presented in different languages? Our findings reveal that, despite multilingual training, LRMs tend to default to reasoning in high-resource languages (e.g., English) at test time
- structure-gen Public
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
- streambench-final-project Public
The final project for Applied Deep Learning (ADL) 2024 @ntu lectured by Prof. Yun-Nung (Vivian) Chen. The project is based on the paper StreamBench: Towards Benchmarking Continuous Improvement of Language Agents.
- i-need-help Public
We propose a framework for LLMs to seek user support, design evaluation metrics to measure the trade-off between performance boost and user burden, and empirically assess this ability on Text-to-SQL generation.
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