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Hi there πŸ‘‹

  • πŸŽ“ I'm a Research Scientist at Sea AI Lab in Singapore.
  • πŸ”­ I’m currently working on research topics about natural language processing, especially on semantic parsing, compositional generalization and dialogue modeling.
  • πŸ‘― I’m happy to collaborate on the future directions of semantic parsing, including robustness, interpretability and etc.
  • πŸ“« How to reach me: [email protected]

SivilTaram's github stats

Qian's Projects

osqa icon osqa

OSQA is a free, entry-level Q&A system from the makers of AnswerHub, the market-leading professional Q&A platform. Looking for Enterprise functionality? Checkout http://answerhub.com

oxyplot icon oxyplot

A cross-platform plotting library for .NET

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

paws icon paws

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

pcb icon pcb

buaa 1306 pcb design.

peft icon peft

πŸ€— PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

permutation-equivariant-seq2seq icon permutation-equivariant-seq2seq

Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for natural language modeling fail when such compositional generalization is required. The main contribution of this paper is to hypothesize that language compositionality is a form of group-equivariance. Based on this hypothesis, we propose a set of tools for constructing equivariant sequence-to-sequence models. Throughout a variety of experiments on the SCAN tasks, we analyze the behavior of existing models under the lens of equivariance, and demonstrate that our equivariant architecture is able to achieve the type compositional generalization required in human language understanding.

prefixtuning icon prefixtuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

primecount icon primecount

Fast C++ prime counting function implementation

primeqa icon primeqa

The prime repository for state-of-the-art Multilingual Question Answering research and development.

project_codenet icon project_codenet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

pytorch-openai-transformer-lm icon pytorch-openai-transformer-lm

πŸ₯A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-seq2seq icon pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

quora icon quora

Quora.com like project with Ruby on Rails (δΈε†η»΄ζŠ€)

realworldnlp icon realworldnlp

Example code for "Real-World Natural Language Processing"

recognizers-text icon recognizers-text

Microsoft.Recognizers.Text.Number provides robust recognition and resolution of numbers expressed in English, Spanish and Chinese.

resume icon resume

An elegant \LaTeX\ rΓ©sumΓ© template

rlseq2seq icon rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rulesynthesis icon rulesynthesis

Code for "Learning Compositional Rules via Neural Program Synthesis"

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