Princeton Natural Language Processing (@princeton-nlp)
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princeton-nlp

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  • Stars
    star
    28,994
  • Global Org. Rank 665 (Top 0.3 %)
  • Registered almost 6 years ago
  • Most used languages
    Python
         89.4 %
    Jupyter Notebook
         10.6 %

Top repositories

1

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Python
12,189
star
2

tree-of-thought-llm

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Python
4,416
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3

SimCSE

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Python
3,310
star
4

SWE-bench

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
Python
1,554
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5

MeZO

[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
Python
1,002
star
6

PURE

[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
Python
777
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7

LM-BFF

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
Python
712
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8

DensePhrases

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
Python
601
star
9

SimPO

SimPO: Simple Preference Optimization with a Reference-Free Reward
Python
510
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10

LLM-Shearing

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Python
492
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11

ALCE

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
Python
414
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12

LESS

[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
Jupyter Notebook
319
star
13

AutoCompressors

[EMNLP 2023] Adapting Language Models to Compress Long Contexts
Python
262
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14

WebShop

[NeurIPS 2022] ๐Ÿ›’WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Python
247
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15

TRIME

[EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
Python
189
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16

CoFiPruning

[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
Python
187
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17

intercode

[NeurIPS 2023 D&B] Code repository for InterCode benchmark https://arxiv.org/abs/2306.14898
Python
179
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18

OptiPrompt

[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
Python
167
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19

TransformerPrograms

[NeurIPS 2023] Learning Transformer Programs
Python
154
star
20

EntityQuestions

EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535
Python
134
star
21

QuRating

[ICML 2024] Selecting High-Quality Data for Training Language Models
Python
119
star
22

CEPE

[ACL 2024] Long-Context Language Modeling with Parallel Encodings
Python
117
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23

DinkyTrain

Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration ๐Ÿšƒ
Python
109
star
24

LLMBar

[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
Python
95
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25

MQuAKE

[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
Jupyter Notebook
86
star
26

USACO

Can Language Models Solve Olympiad Programming?
Python
86
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27

NLProofS

EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443
Python
80
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28

MADE

EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering
Python
70
star
29

LM-Kernel-FT

A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
Python
68
star
30

calm-textgame

[EMNLP 2020] Keep CALM and Explore: Language Models for Action Generation in Text-based Games
Python
64
star
31

CharXiv

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Python
63
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32

c-sts

[EMNLP 2023] C-STS: Conditional Semantic Textual Similarity
Python
61
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33

DataMUX

[NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
Jupyter Notebook
58
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34

ShortcutGrammar

EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560
Jupyter Notebook
58
star
35

LitSearch

A Retrieval Benchmark for Scientific Literature Search
Python
53
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36

Collie

[ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks
Jupyter Notebook
51
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37

EvalConvQA

[ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
Python
45
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38

MABEL

EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
Python
35
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39

LM-Science-Tutor

Python
32
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40

rationale-robustness

NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
Python
26
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41

PTP

Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
Python
23
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42

InstructEval

[NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.
Jupyter Notebook
23
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43

WhatICLLearns

[ACL 2023 Findings] What In-Context Learning โ€œLearnsโ€ In-Context: Disentangling Task Recognition and Task Learning
Python
21
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44

Cognac

Repo for paper: Controllable Text Generation with Language Constraints
Python
19
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45

corpus-poisoning

[EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
Python
18
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46

semsup

Semantic Supervision: Enabling Generalization over Output Spaces
Python
16
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47

ELIZA-Transformer

Representing Rule-based Chatbots with Transformers
Python
15
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48

SRL-NLC

Safe Reinforcement Learning with Natural Language Constraints
14
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49

Edge-Pruning

Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
Python
14
star
50

datamux-pretraining

MUX-PLMs: Pretraining LMs with Data Multiplexing
Python
14
star
51

XTX

[ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
Python
13
star
52

MultilingualAnalysis

Repository for the paper titled: "When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer"
Python
13
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53

blindfold-textgame

[NAACL 2021] Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
Python
12
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54

align-mlm

Python
11
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55

dyck-transformer

[ACL 2021] Self-Attention Networks Can Process Bounded Hierarchical Languages
Python
11
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56

metric-wsd

NAACL'2021: Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Python
10
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57

semsup-xc

SemSup-XC: Semantic Supervision for Extreme Classification
Jupyter Notebook
10
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58

lwm

We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effectively control these agents through verbal communication.
Python
9
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59

benign-data-breaks-safety

Python
7
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60

CopyCat

Python
7
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61

Heuristic-Core

[ACL 2024] The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models - https://arxiv.org/abs/2403.03942
Python
6
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62

CARETS

Python
6
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63

SPARTAN

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Python
5
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64

attribute-tagging

[LaReL 2022] Towards an Enhanced, Faithful, and Adaptable Web Interaction Environment
Python
4
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65

NegotiationToM

Code release for Improving Dialog Systems for Negotiation with Personality Modeling.
Python
4
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66

il-scaling-in-games

Official code repo of "Scaling Laws for Imitation Learning in NetHack"
Python
4
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67

MoQA

Python
3
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