Search Results for author: Zhanming Jie

Found 13 papers, 9 papers with code

ReFT: Reasoning with Reinforced Fine-Tuning

1 code implementation17 Jan 2024 Trung Quoc Luong, Xinbo Zhang, Zhanming Jie, Peng Sun, Xiaoran Jin, Hang Li

ReFT first warmups the model with SFT, and then employs on-line reinforcement learning, specifically the PPO algorithm in this paper, to further fine-tune the model, where an abundance of reasoning paths are automatically sampled given the question and the rewards are naturally derived from the ground-truth answers.

GSM8K Math +1

Design of Chain-of-Thought in Math Problem Solving

1 code implementation20 Sep 2023 Zhanming Jie, Trung Quoc Luong, Xinbo Zhang, Xiaoran Jin, Hang Li

We also find that Python is a better choice of language than Wolfram for program CoTs.

GSM8K Math

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

1 code implementation29 May 2023 Zhanming Jie, Wei Lu

To address these issues, we investigate two approaches to leverage the training data in a few-shot prompting scenario: dynamic program prompting and program distillation.

Language Modelling Large Language Model +1

Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding

no code implementations16 May 2023 Shuwei Feng, Tianyang Zhan, Zhanming Jie, Trung Quoc Luong, Xiaoran Jin

This paper presents GenDoc, a general sequence-to-sequence document understanding model pre-trained with unified masking across three modalities: text, image, and layout.

Decoder document understanding +2

Better Feature Integration for Named Entity Recognition

1 code implementation NAACL 2021 Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing

We believe this is because both types of features - the contextual information captured by the linear sequences and the structured information captured by the dependency trees may complement each other.

named-entity-recognition Named Entity Recognition +1

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph

1 code implementation EMNLP 2020 Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si

Previous works on knowledge-to-text generation take as input a few RDF triples or key-value pairs conveying the knowledge of some entities to generate a natural language description.

Graph-to-Sequence KG-to-Text Generation +2

Better Modeling of Incomplete Annotations for Named Entity Recognition

no code implementations NAACL 2019 Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li

Supervised approaches to named entity recognition (NER) are largely developed based on the assumption that the training data is fully annotated with named entity information.

named-entity-recognition Named Entity Recognition +1

Efficient Dependency-Guided Named Entity Recognition

1 code implementation19 Oct 2018 Zhanming Jie, Aldrian Obaja Muis, Wei Lu

It has been shown previously that such information can be used to improve the performance of NER (Sasano and Kurohashi 2008, Ling and Weld 2012).

named-entity-recognition Named Entity Recognition +2

Dependency-based Hybrid Trees for Semantic Parsing

no code implementations EMNLP 2018 Zhanming Jie, Wei Lu

We propose a novel dependency-based hybrid tree model for semantic parsing, which converts natural language utterance into machine interpretable meaning representations.

Semantic Parsing

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