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awesome-llms-evaluation-papers

The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

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

cmoraleval

A Moral Evaluation Benchmark for Chinese Large Language Models

cogalign

Source code of ACL-2021 CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals

cogtaskonomy

Source code of ACL-2022 CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP

commonmt

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

id-zh-mtrobusteval

Datasets for LREC-COLING 2024 Paper "An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation"

kafsp

lexical-unit-decoding-lud-

Lexical Unit Decoding (LUD)

lfed

Source dataset of LREC-COLING 2024 paper: A Literary Fiction Evaluation Dataset for Large Language Models

lhmke

A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models

llm_translate_robust

Source code of LREC-COLING 2024 Paper: Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations?

m3ke

A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark

mt-data-paper-toollist

ovc

Source code of AAAI-2021 Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding

pckmt

Source codes of ACL 2022-Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

shallow-discourse-annotation-for-chinese-ted-talks

Datasets for "Shallow Discourse Annotation for Chinese TED Talks" Accepted by LREC 2020

tab-cqa

Tab-CQA

tgea

tjunlp-lab.github.io

NLP Research Group from Tianjin University