Compositional Reasoning Embeddings NLP Tools
Research implementations focusing on compositional reasoning, modular structures in language models, and contrastive learning methods for semantic representations. Does NOT include general pre-training, task-specific applications, or single-language tools without compositional focus.
There are 73 compositional reasoning embeddings tools tracked. 2 score above 50 (established tier). The highest-rated is princeton-nlp/SimCSE at 63/100 with 3,644 stars and 162 monthly downloads.
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| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings... |
|
Established |
| 2 |
n-waves/multifit
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual... |
|
Established |
| 3 |
yxuansu/SimCTG
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation |
|
Emerging |
| 4 |
Shark-NLP/OpenICL
OpenICL is an open-source framework to facilitate research, development, and... |
|
Emerging |
| 5 |
alibaba-edu/simple-effective-text-matching
Source code of the ACL2019 paper "Simple and Effective Text Matching with... |
|
Emerging |
| 6 |
alibaba-edu/simple-effective-text-matching-pytorch
A pytorch implementation of the ACL2019 paper "Simple and Effective Text... |
|
Emerging |
| 7 |
KwangKa/SIMCSE_unsup
中文无监督SimCSE Pytorch实现 |
|
Emerging |
| 8 |
Alibaba-NLP/ACE
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction |
|
Emerging |
| 9 |
xlang-ai/UnifiedSKG
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with... |
|
Emerging |
| 10 |
yueyu1030/COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained... |
|
Emerging |
| 11 |
yumeng5/SuperGen
[NeurIPS 2022] Generating Training Data with Language Models: Towards... |
|
Emerging |
| 12 |
SAP-samples/acl2022-self-contrastive-decorrelation
Source code for ACL 2022 paper "Self-contrastive Decorrelation for Sentence... |
|
Emerging |
| 13 |
aangelopoulos/conformal-risk
Conformal prediction for controlling monotonic risk functions. Simple... |
|
Emerging |
| 14 |
mesnico/ALADIN
Official implementation of the paper "ALADIN: Distilling Fine-grained... |
|
Emerging |
| 15 |
j6mes/acl2021-factual-error-correction
ACL 2021 |
|
Emerging |
| 16 |
allenai/dont-stop-pretraining
Code associated with the Don't Stop Pretraining ACL 2020 paper |
|
Emerging |
| 17 |
GaryYufei/ACL2021MF
Source Code For ACL 2021 Paper "Mention Flags (MF): Constraining... |
|
Emerging |
| 18 |
perceptiveshawty/RankCSE
Implementation of "RankCSE: Unsupervised Sentence Representation Learning... |
|
Emerging |
| 19 |
zhuang-li/FactualSceneGraph
[ACL 2023 Findings] FACTUAL dataset, the textual scene graph parser trained... |
|
Emerging |
| 20 |
L-Zhe/BTmPG
Code for paper Pushing Paraphrase Away from Original Sentence: A Multi-Round... |
|
Experimental |
| 21 |
songyang-dev/uml-translation-3step
Official repository for the paper Yang et al. 2022 |
|
Experimental |
| 22 |
hexuandeng/Mono4SiMT
The implementation for our paper, "Improving Simultaneous Machine... |
|
Experimental |
| 23 |
SAP-samples/acl2023-micse
Source code for ACL 2023 paper "miCSE: Mutual Information Contrastive... |
|
Experimental |
| 24 |
OpenMatch/COCO-DR
[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR:... |
|
Experimental |
| 25 |
Smu-Tan/Remedy
[EMNLP2025] Remedy: Learning Machine Translation Evaluation from Human... |
|
Experimental |
| 26 |
cisnlp/Glot500
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages... |
|
Experimental |
| 27 |
yueyu1030/ReGen
[ACL'23 Findings] This is the code repo for our ACL'23 Findings paper... |
|
Experimental |
| 28 |
xlang-ai/icl-selective-annotation
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models... |
|
Experimental |
| 29 |
LCS2-IIITD/ACL-FFLM
Code for our ACL (Findings) Paper - Fingerprinting Fine-tuned Language... |
|
Experimental |
| 30 |
jiacheng-ye/ZeroGen
[EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via... |
|
Experimental |
| 31 |
rosewang2008/calibrate_your_listeners
Calibrate your listeners! Robust communication-based training for pragmatic... |
|
Experimental |
| 32 |
BM-K/KoSimCSE-SKT
Simple Contrastive Learning of Korean Sentence Embeddings |
|
Experimental |
| 33 |
Lingkai-Kong/Calibrated-BERT-Fine-Tuning
Code for Paper: Calibrated Language Model Fine-Tuning for In- and... |
|
Experimental |
| 34 |
limteng-rpi/mlmt
Code for the paper "A Multi-lingual Multi-task Architecture for Low-resource... |
|
Experimental |
| 35 |
YJiangcm/WebR
[ACL 2025] Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction |
|
Experimental |
| 36 |
princeton-nlp/TRIME
[EMNLP 2022] Training Language Models with Memory Augmentation... |
|
Experimental |
| 37 |
TianduoWang/DiffAug
[EMNLP 2022] Differentiable Data Augmentation for Contrastive Sentence... |
|
Experimental |
| 38 |
chenllliang/MLS
Source code of our paper "Focus on the Target’s Vocabulary: Masked Label... |
|
Experimental |
| 39 |
SLAB-NLP/Linguistic-Blood-Bank
Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the... |
|
Experimental |
| 40 |
xuanyuan14/ARES
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search |
|
Experimental |
| 41 |
zjunlp/Revisit-KNN
[CCL 2023] Revisiting k-NN for Fine-tuning Pre-trained Language Models |
|
Experimental |
| 42 |
lifan-yuan/PLMCalibration
Code for ACL 2023 paper "A Close Look into the Calibration of Pre-trained... |
|
Experimental |
| 43 |
joisino/zeh
Code for "Even GPT-5.2 Can’t Count to Five: The Case for Zero-Error Horizons... |
|
Experimental |
| 44 |
YecanLee/Adaptive-Contrastive-Search
[EMNLP 2024 Findings] Official PyTorch Implementation of "Adaptive... |
|
Experimental |
| 45 |
UKPLab/acl2021-metaphor-generation-conceptual
This repository is for the paper Metaphor Generation with Conceptual... |
|
Experimental |
| 46 |
alibaba/SimCSE-with-CARDS
Source code for SIGIR 2022 paper. |
|
Experimental |
| 47 |
yaushian/mSimCSE
mSimCSE: Multilingual SimCSE |
|
Experimental |
| 48 |
machelreid/afromt
Code for the EMNLP 2021 Paper "AfroMT: Pretraining Strategies and... |
|
Experimental |
| 49 |
yxuansu/TaCL
[NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning |
|
Experimental |
| 50 |
zxlzr/DCL
Code for the CICAI 2021 paper "Disentangled Contrastive Learning for... |
|
Experimental |
| 51 |
LittletreeZou/Cross-Modal-Cloze-Task
This repository is for ACL 2022 findings paper: Cross-Modal Cloze Task: A... |
|
Experimental |
| 52 |
tejasvaidhyadev/Efficient-Co-RLSR
Codebase accompanying the paper "Efficient Co-Regularised Least Squares Regression". |
|
Experimental |
| 53 |
Sreyan88/CompA
Code for ICLR 2024 Paper: CompA: Addressing the Gap in Compositional... |
|
Experimental |
| 54 |
megagonlabs/zett
:see_no_evil: Code for Zero-shot Triplet Extraction by Template Infilling... |
|
Experimental |
| 55 |
jlin816/rewards-from-language
Code and data for "Inferring Rewards from Language in Context" [ACL 2022]. |
|
Experimental |
| 56 |
orionw/MTLvsIFT
Code for the paper "When to Use Multi-Task Learning vs Intermediate... |
|
Experimental |
| 57 |
IndexFziQ/COMMA
The code of COMMA: Modeling Relationship among Motivations, Emotions and... |
|
Experimental |
| 58 |
tic-top/LoraCSE
😜Constrative Learning of Sentence Embedding using LoRA (EECS487 final project) |
|
Experimental |
| 59 |
griff4692/calibrating-summaries
This is the official PyTorch codebase for the ACL 2023 paper: "What are the... |
|
Experimental |
| 60 |
THUNLP-MT/TRICE
Code for our paper "Transfer Learning for Sequence Generation: from... |
|
Experimental |
| 61 |
Yangyi-Chen/LM-TOAST
Source code for ACL 2023 Findings paper "Making Pre-trained Language Models... |
|
Experimental |
| 62 |
MattYoon/reasoning-models-confidence
[NeurIPS 2025] Reasoning Models Better Express Their Confidence" |
|
Experimental |
| 63 |
CAS-SIAT-XinHai/NUMCoT
[ACL 2024] NUMCoT: Numerals and Units of Measurement in Chain-of-Thought... |
|
Experimental |
| 64 |
zwhe99/SelfTraining4UNMT
[ACL 2022] Bridging the Data Gap between Training and Inference for... |
|
Experimental |
| 65 |
itayle/diverse-demonstrations
Diverse Demonstrations Improve In-context Compositional Generalization |
|
Experimental |
| 66 |
tran-khoa/joint-training-cascaded-st
Code for the paper "Does Joint Training Really Help Cascaded Speech... |
|
Experimental |
| 67 |
yass-ML/slm-few-shot-optimization
An empirical investigation into optimizing few-shot prompting strategies for... |
|
Experimental |
| 68 |
LarsHill/pointer-guided-pre-training
Code for the ECML 2024 paper "Pointer-Guided Pre-Training: Infusing Large... |
|
Experimental |
| 69 |
ashutoshml/alleviating-inconsistency
ACL 2022 (Findings): Striking a Balance: Alleviating Inconsistency in... |
|
Experimental |
| 70 |
phanxuanphucnd/knowledge_tracing
Model AKT for Knowledge Tracing |
|
Experimental |
| 71 |
ltorroba/lms-from-mlms
Repository for the ACL 2023 paper "Deriving Language Models from Masked... |
|
Experimental |
| 72 |
SondreWold/comp_rep_study
Official implementation for the ACL 2025 Main paper "Circuit Compositions:... |
|
Experimental |
| 73 |
tyjiangU/physical_artifacts_function
Code for the paper "Learning Prototypical Functions for Physical Artifacts" |
|
Experimental |