PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks | Paper Citation Record

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This paper cites Towards a Human-like Open-Domain Chatbot.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Towards a Human-like Open-Domain Chatbot

Reference 1

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This paper cites MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Reference 2

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This paper cites Building Machine Translation Systems for the Next Thousand Languages.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Building Machine Translation Systems for the Next Thousand Languages

Reference 3

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

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Observation 4315fd9a-17d4-4b65-822b-bdb5b4331a8b · outbound

This paper cites Language Models are Few-Shot Learners.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Language Models are Few-Shot Learners

Reference 6

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Observation ffe51ae0-5cc1-48fa-9013-d2d27458d0a0 · outbound

This paper cites LLMs Are Few-Shot In-Context Low-Resource Language Learners.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 7

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Observation 20222a1f-c4a6-4059-9ae0-39d3b64e7cae · outbound

This paper cites Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

Reference 8

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Observation f449f240-b47b-4c1b-970b-05a524928e18 · outbound

This paper cites Improving In-Context Few-Shot Learning via Self-Supervised Training.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Improving In-Context Few-Shot Learning via Self-Supervised Training

Reference 9

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Observation aa73d477-9cb0-4367-9f0a-03d69c618b2f · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 10

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Observation 8c891265-f4e3-4cab-a6fc-459fb567c96e · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks The Llama 3 Herd of Models

Reference 11

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Observation 3df20c0d-06bc-44b9-a546-43226bc95ff2 · outbound

This paper cites Do Multilingual Language Models Think Better in English?.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Do Multilingual Language Models Think Better in English?

Reference 12

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Observation cdcd908a-6f50-40da-b344-9732adc5962b · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Hierarchical Neural Story Generation

Reference 13

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Observation e6ce5594-5add-418a-8566-e703d8c8f808 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Beam Search Strategies for Neural Machine Translation

Reference 14

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Observation 2c02b8b2-9902-40c2-ae22-dde34dae6ce7 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

Reference 15

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks The Curious Case of Neural Text Degeneration

Reference 16

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Observation 845682e1-bc37-4a7d-88b1-a3cff093559e · outbound

This paper cites Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 17

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

Reference 18

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

Reference 19

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This paper cites Diverse Demonstrations Improve In-context Compositional Generalization.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Diverse Demonstrations Improve In-context Compositional Generalization

Reference 20

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Observation a315a6cf-cb32-4750-8527-6f3afb6f7b0c · outbound

This paper cites Unified Demonstration Retriever for In-Context Learning.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unified Demonstration Retriever for In-Context Learning

Reference 21

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Observation d2861134-c4a9-4a28-ae72-f1a979f2e575 · outbound

This paper cites Finding Support Examples for In-Context Learning.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Finding Support Examples for In-Context Learning

Reference 22

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

Reference 23

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Observation be3c4917-adf6-4317-a084-1858ef3f515d · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks What Makes Good In-Context Examples for GPT-$3$?

Reference 24

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Observation 470226b3-69f5-4a10-abe1-73b6b9991f36 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Reference 25

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Observation 8d18cefc-8f51-47a1-b5af-7fdc05cd8d2a · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Determinantal Point Process Likelihoods for Sequential Recommendation

Reference 26

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Observation d1a9b3fd-d4d5-4cc0-8d55-b346f835804d · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 27

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Observation 4ef55e79-c240-4425-99cd-e4b63914e6e4 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 28

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

Reference 29

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Observation f97d4644-1e67-426a-b49f-2e4d9b466b80 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks MetaICL: Learning to Learn In Context

Reference 30

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 31

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks In-context Example Selection with Influences

Reference 32

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks In-context Learning and Induction Heads

Reference 33

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks GPT-4 Technical Report

Reference 34

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks In-Context Learning with Iterative Demonstration Selection

Reference 37

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Unresolved cited work

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Learning To Retrieve Prompts for In-Context Learning

Reference 39

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks

Reference 40

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Reference 41

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

Reference 42

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages

Reference 43

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Observation 18faddfa-916b-456e-ab5c-7c8f8d444a36 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment

Reference 44

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Sample Efficient Linear Meta-Learning by Alternating Minimization

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 50

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Emergent Abilities of Large Language Models

Reference 51

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Observation 69bb8f4e-f389-420b-bb92-d0ad92287451 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Symbol tuning improves in-context learning in language models

Reference 53

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Observation 2706c7a7-9a30-4089-bfe9-d7328f4abac7 · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Larger language models do in-context learning differently

Reference 54

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Language Models are Few-shot Multilingual Learners

Reference 55

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Observation e2ab7516-f690-4a3a-b17f-440318d1703e · outbound

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 56

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Reference 57

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Reference 58

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Observation 243364f2-5e1d-4f97-87b6-327605984159 · outbound

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Reference 60

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Reference 61

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Active Example Selection for In-Context Learning

Reference 62

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PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Automatic Chain of Thought Prompting in Large Language Models

Reference 63

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Reference 65

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Reference 66

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Reference 67

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