tjunlp-lab Goto Github PK
Name: TJUNLP-Lab
Type: User
Bio: NLP Research Group from Tianjin University
Location: Tianjin University
Blog: tjunlp-lab.github.io
Name: TJUNLP-Lab
Type: User
Bio: NLP Research Group from Tianjin University
Location: Tianjin University
Blog: tjunlp-lab.github.io
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
A list of paper & code on machine learning techniques for NLP research, including RL/Self-supervised Learning/VAE/GAN/Meta learning
A Moral Evaluation Benchmark for Chinese Large Language Models
Source code of ACL-2021 CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
Source code of ACL-2022 CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP
Datasets for "A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation" accepted by Proceedings of the Second International Workshop of Discourse Processing
Datasets for LREC-COLING 2024 Paper "An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation"
Lexical Unit Decoding (LUD)
Source dataset of LREC-COLING 2024 paper: A Literary Fiction Evaluation Dataset for Large Language Models
A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Source code of LREC-COLING 2024 Paper: Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations?
A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark
Source code of AAAI-2021 Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding
Source codes of ACL 2022-Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
Datasets for "Shallow Discourse Annotation for Chinese TED Talks" Accepted by LREC 2020
Tab-CQA
NLP Research Group from Tianjin University
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.