Search Results for author: Qiaochu Chen

Found 5 papers, 2 papers with code

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting

1 code implementation NeurIPS 2023 Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett

In this paper, we propose a new satisfiability-aided language modeling (SatLM) approach for improving the reasoning capabilities of LLMs.

Arithmetic Reasoning Language Modelling

Optimal Neural Program Synthesis from Multimodal Specifications

no code implementations Findings (EMNLP) 2021 Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett

Multimodal program synthesis, which leverages different types of user input to synthesize a desired program, is an attractive way to scale program synthesis to challenging settings; however, it requires integrating noisy signals from the user, like natural language, with hard constraints on the program's behavior.

Program Synthesis valid

Benchmarking Multimodal Regex Synthesis with Complex Structures

no code implementations ACL 2020 Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett

Existing datasets for regular expression (regex) generation from natural language are limited in complexity; compared to regex tasks that users post on StackOverflow, the regexes in these datasets are simple, and the language used to describe them is not diverse.

Benchmarking

Sketch-Driven Regular Expression Generation from Natural Language and Examples

1 code implementation16 Aug 2019 Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett

Our system achieves state-of-the-art performance on the prior datasets and solves 57% of the real-world dataset, which existing neural systems completely fail on.

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