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cs.CL2026
Tyler: Typed Latent Reasoning for Language Models -- When to Think, What to Compute, and How Much to Allocate
Hanyu Lin, Min Cai, Jiawei Wen +1
Chain-of-thought (CoT) prompting improves reasoning in large language models (LLMs) by externalizing intermediate computation as discrete text tokens, but this textual interface al…
cs.CL2024
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability
Jinwei Lu, Yuanfeng Song, Haodi Zhang +2
Text-to-Vis is an emerging task in the natural language processing (NLP) area that aims to automatically generate data visualizations from natural language questions (NLQs). Despit…
cs.CL2023
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Haodi Zhang, Min Cai, Xinhe Zhang +3
While large language models (LLMs) such as ChatGPT and PaLM have demonstrated remarkable performance in various language understanding and generation tasks, their capabilities in c…