Pinned Repositories
Awesome-LLM-Safety-Papers
Awesome-LLMs-Evaluation-Papers
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
Awesome-Multilingual-LLMs-Papers
Awesome-Multilingual-LLMs-Papers
awesome-NLP-Machine-Learning
A list of paper & code on machine learning techniques for NLP research, including RL/Self-supervised Learning/VAE/GAN/Meta learning
CommonMT
FuxiTranyu
FuxiTranyu-8B is an open-source multilingual large language model trained from scratch with 606B tokens.
KaFSP
M3KE
A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark
Shallow-Discourse-Annotation-for-Chinese-TED-Talks
Datasets for "Shallow Discourse Annotation for Chinese TED Talks" Accepted by LREC 2020
TGEA
tjunlp-lab's Repositories
tjunlp-lab/Awesome-LLMs-Evaluation-Papers
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
tjunlp-lab/M3KE
A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark
tjunlp-lab/awesome-NLP-Machine-Learning
A list of paper & code on machine learning techniques for NLP research, including RL/Self-supervised Learning/VAE/GAN/Meta learning
tjunlp-lab/Awesome-Multilingual-LLMs-Papers
Awesome-Multilingual-LLMs-Papers
tjunlp-lab/CommonMT
tjunlp-lab/FuxiTranyu
FuxiTranyu-8B is an open-source multilingual large language model trained from scratch with 606B tokens.
tjunlp-lab/Shallow-Discourse-Annotation-for-Chinese-TED-Talks
Datasets for "Shallow Discourse Annotation for Chinese TED Talks" Accepted by LREC 2020
tjunlp-lab/KaFSP
tjunlp-lab/TGEA
tjunlp-lab/Awesome-LLM-Safety-Papers
tjunlp-lab/CogAlign
Source code of ACL-2021 CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
tjunlp-lab/Lexical-Unit-Decoding-LUD-
Lexical Unit Decoding (LUD)
tjunlp-lab/Discourse-Phenomena-in-Document-level-Neural-Machine-Translation
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
tjunlp-lab/PCKMT
Source codes of ACL 2022-Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
tjunlp-lab/Tab-CQA
Tab-CQA
tjunlp-lab/APRT
tjunlp-lab/CMoralEval
A Moral Evaluation Benchmark for Chinese Large Language Models
tjunlp-lab/CogTaskonomy
Source code of ACL-2022 CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP
tjunlp-lab/llm_translate_robust
Source code of LREC-COLING 2024 Paper: Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations?
tjunlp-lab/tjunlp-lab.github.io
NLP Research Group from Tianjin University
tjunlp-lab/LFED
Source dataset of LREC-COLING 2024 paper: A Literary Fiction Evaluation Dataset for Large Language Models
tjunlp-lab/ID-ZH-MTRobustEval
Datasets for LREC-COLING 2024 Paper "An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation"
tjunlp-lab/LHMKE
A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models
tjunlp-lab/MT-data-paper-toollist
tjunlp-lab/OVC
Source code of AAAI-2021 Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding