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awesome-llm-attributions
A Survey of Attributions for Large Language Models
https://github.com/HITsz-TMG/awesome-llm-attributions
Last synced: 2 days ago
JSON representation
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1. Attribution Definition & Position Paper
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2. Attribution Paper Before the Era of Large Language Models and Related Task
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2.1 Fact Checking & Claim Verificication & Natural Language Inference
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2.2 Feature Attribution and Interpretability of Models for NLP
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2.3 Attribution in Mutli-modal Systems
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2.4 Wiki
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2.5 Model based Information Retrieval
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2.6 Small Language Model
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3. Sources of Attribution
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4. Datasets for Attribution
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3.2 Out-of-model Knowledge and Retrieval-based Question Answering & Knowledge-Grounded Dialogue
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5. Approaches to Attribution
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5.1 Direct Generated Attribution
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5.2 Retrieval-then-Answering
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5.3 Post-Generation Attribution
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5.4 Attribution Systems & End-to-End Attribution Models
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6. Attribution Evaluation
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5.4 Attribution Systems & End-to-End Attribution Models
- 2022/12 - research-datasets/Attributed-QA)]
- 2023/04 - liu/evaluating-verifiability-in-generative-search-engines)]
- 2023/05
- 2023/05
- 2023/05
- 2023/05 - NLP-Group/AttrScore)]
- 2023/07 - NLP/factool)]
- 2023/09
- 2023/10
- 2023/10
- 2023/11
- 2022/12 - research-datasets/Attributed-QA)]
- 2023/05
- 2023/05 - NLP-Group/AttrScore)]
- 2023/09
- 2023/10
- 2023/11
- 2022/07
- 2023/10
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Project Maintainers & Contributors
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5.4 Attribution Systems & End-to-End Attribution Models
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Categories
Sub Categories
5.4 Attribution Systems & End-to-End Attribution Models
26
3.2 Out-of-model Knowledge and Retrieval-based Question Answering & Knowledge-Grounded Dialogue
21
5.1 Direct Generated Attribution
15
5.2 Retrieval-then-Answering
14
2.3 Attribution in Mutli-modal Systems
9
5.3 Post-Generation Attribution
7
3.1 Pre-training Data
7
2.1 Fact Checking & Claim Verificication & Natural Language Inference
7
2.2 Feature Attribution and Interpretability of Models for NLP
3
2.6 Small Language Model
2
2.4 Wiki
2
2.5 Model based Information Retrieval
2