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| Can Large Language Models Learn Independent Causal Mechanisms? |
4 Feb 2024 |
Strong-AI-Lab/Logical-and-abstract-reasoning/models/run_multiple_choice.py 3c241ecfe3749a6d |
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| Sparse is Enough in Fine-tuning Pre-trained Large Language Models |
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20 Nov 2023 |
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13 Oct 2023 |
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| Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing |
10 Oct 2023 |
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| Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness |
9 Oct 2023 |
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| Bias Amplification Enhances Minority Group Performance |
13 Sep 2023 |
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| $\rm SP^3$: Enhancing Structured Pruning via PCA Projection |
31 Aug 2023 |
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| Backdooring Neural Code Search |
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| Testing the Ability of Language Models to Interpret Figurative Language |
26 Apr 2022 |
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| Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators |
7 Apr 2022 |
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| What You See is What You Get: Principled Deep Learning via Distributional Generalization |
7 Apr 2022 |
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| Unified Visual Transformer Compression |
15 Mar 2022 |
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10 Dec 2021 |
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| NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework |
7 Nov 2021 |
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| CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models |
30 Sep 2021 |
minwhoo/crossaug/utils_fever.py 3c241ecfe3749a6d |
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| TOGA: A Neural Method for Test Oracle Generation |
2021-09 (from id) |
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| Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning |
13 Sep 2021 |
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| Nearest Neighbour Few-Shot Learning for Cross-lingual Classification |
6 Sep 2021 |
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| From LSAT: The Progress and Challenges of Complex Reasoning |
2 Aug 2021 |
zhongwanjun/AR-LSAT/LSTM/main_large.py 3c241ecfe3749a6d |
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| R-Drop: Regularized Dropout for Neural Networks |
28 Jun 2021 |
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| Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning |
13 Jun 2021 |
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| How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements |
6 Jun 2021 |
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| Sub-Character Tokenization for Chinese Pretrained Language Models |
1 Jun 2021 |
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| Re-TACRED: Addressing Shortcomings of the TACRED Dataset |
16 Apr 2021 |
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| ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning |
15 Apr 2021 |
swarnaHub/ExplaGraphs/structured_model/utils_joint_model.py 3c241ecfe3749a6d |
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| Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge |
6 Apr 2021 |
JetRunner/dogwhistle/run_multiple_choice.py 3c241ecfe3749a6d |
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| Refining Language Models with Compositional Explanations |
18 Mar 2021 |
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| BinaryBERT: Pushing the Limit of BERT Quantization |
31 Dec 2020 |
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| EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering |
5 Nov 2020 |
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| A Frustratingly Easy Approach for Entity and Relation Extraction |
24 Oct 2020 |
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| PRover: Proof Generation for Interpretable Reasoning over Rules |
6 Oct 2020 |
swarnaHub/PRover/utils.py 3c241ecfe3749a6d |
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| Mining Knowledge for Natural Language Inference from Wikipedia Categories |
3 Oct 2020 |
ZeweiChu/WikiNLI/code/utils.py 3c241ecfe3749a6d |
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| GeDi: Generative Discriminator Guided Sequence Generation |
14 Sep 2020 |
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| NILE : Natural Language Inference with Faithful Natural Language Explanations |
25 May 2020 |
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5 May 2020 |
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| Generative Data Augmentation for Commonsense Reasoning |
24 Apr 2020 |
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| MuTual: A Dataset for Multi-Turn Dialogue Reasoning |
9 Apr 2020 |
Nealcly/MuTual/baseline/multi-choice/run_multiple_choice.py 3c241ecfe3749a6d |
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| ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning |
11 Feb 2020 |
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| LayoutLM: Pre-training of Text and Layout for Document Image Understanding |
31 Dec 2019 |
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| Inducing brain-relevant bias in natural language processing models |
29 Oct 2019 |
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| BERT for Evidence Retrieval and Claim Verification |
7 Oct 2019 |
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| KG-BERT: BERT for Knowledge Graph Completion |
7 Sep 2019 |
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| TabFact: A Large-scale Dataset for Table-based Fact Verification |
5 Sep 2019 |
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| Commonsense Knowledge Mining from Pretrained Models |
2 Sep 2019 |
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| Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach |
31 Aug 2019 |
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| Patient Knowledge Distillation for BERT Model Compression |
25 Aug 2019 |
Daniel-H-99/Patient-Knowledge-Distillation/src/nli_data_processing.py 3c241ecfe3749a6d |
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| SpanBERT: Improving Pre-training by Representing and Predicting Spans |
24 Jul 2019 |
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| Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention |
30 May 2019 |
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| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
Microsoft/AzureML-BERT/finetune/run_classifier_azureml.py 3c241ecfe3749a6d |
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MIT (permissive) |
| Character-level Convolutional Networks for Text Classification |
4 Sep 2015 |
ZeweiChu/NatCat/code/utils.py 3c241ecfe3749a6d |
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CC0-1.0 (permissive) |
| LCSTS: A Large Scale Chinese Short Text Summarization Dataset |
19 Jun 2015 |
jessie0624/Automatic-Text-Summarization/1_bertClassifcation.py 3c241ecfe3749a6d |
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MIT (permissive) |
| arXiv:aaai_29850 |
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ozyyshr/FocalReasoner/run_multiple_choice.py 3c241ecfe3749a6d |
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MIT (permissive) |
| arXiv:2023.emnlp-main.1005 |
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YichenZW/Coh-MGT-Detection/util.py 3c241ecfe3749a6d |
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MIT (permissive) |
| arXiv:2023.acl-long.264 |
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DAMO-NLP-SG/MVCR/src/data.py 3c241ecfe3749a6d |
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| arXiv:2023.acl-long.182 |
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Yuanhy1997/HyPe/metric.py 3c241ecfe3749a6d |
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MIT (permissive) |
| arXiv:2020.emnlp-main.750 |
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salesforce/factCC/modeling/utils.py 3c241ecfe3749a6d |
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BSD-3-Clause (permissive) |