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Collections including paper arxiv:2308.10633

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 4

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Paper • 2212.09146 • Published Dec 18, 2022 • 3
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
MemeCap: A Dataset for Captioning and Interpreting Memes

Paper • 2305.13703 • Published May 23, 2023
Contrastive Learning for Inference in Dialogue

Paper • 2310.12467 • Published Oct 19, 2023

Question answering

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

Paper • 2204.04581 • Published Apr 10, 2022 • 1
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Paper • 2303.08033 • Published Mar 9, 2023 • 1
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

Paper • 2305.14869 • Published May 24, 2023 • 1
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering

Paper • 2305.05936 • Published May 10, 2023 • 1

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 14
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Paper • 2305.14292 • Published May 23, 2023
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps

Paper • 2312.07796 • Published Dec 12, 2023
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 4
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Paper • 2308.07922 • Published Aug 15, 2023 • 18
Retrieval-Generation Synergy Augmented Large Language Models

Paper • 2310.05149 • Published Oct 8, 2023 • 1

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SmartPlay : A Benchmark for LLMs as Intelligent Agents

Paper • 2310.01557 • Published Oct 2, 2023 • 13
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Paper • 2310.03214 • Published Oct 5, 2023 • 20

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 4

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Paper • 2305.14292 • Published May 23, 2023
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps

Paper • 2312.07796 • Published Dec 12, 2023
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 4
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Paper • 2212.09146 • Published Dec 18, 2022 • 3
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
MemeCap: A Dataset for Captioning and Interpreting Memes

Paper • 2305.13703 • Published May 23, 2023
Contrastive Learning for Inference in Dialogue

Paper • 2310.12467 • Published Oct 19, 2023

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Paper • 2308.07922 • Published Aug 15, 2023 • 18
Retrieval-Generation Synergy Augmented Large Language Models

Paper • 2310.05149 • Published Oct 8, 2023 • 1

Question answering

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

Paper • 2204.04581 • Published Apr 10, 2022 • 1
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Paper • 2303.08033 • Published Mar 9, 2023 • 1
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

Paper • 2305.14869 • Published May 24, 2023 • 1
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering

Paper • 2305.05936 • Published May 10, 2023 • 1

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SmartPlay : A Benchmark for LLMs as Intelligent Agents

Paper • 2310.01557 • Published Oct 2, 2023 • 13
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Paper • 2310.03214 • Published Oct 5, 2023 • 20

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 14
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36

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