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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 76 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 3
Collections
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Collections including paper arxiv:2308.10633
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WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Paper • 2305.14292 • Published -
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps
Paper • 2312.07796 • Published -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 3 -
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Paper • 2210.02627 • Published
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Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Paper • 2212.09146 • Published • 3 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
MemeCap: A Dataset for Captioning and Interpreting Memes
Paper • 2305.13703 • Published -
Contrastive Learning for Inference in Dialogue
Paper • 2310.12467 • Published
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RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 76 -
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
Paper • 2308.07922 • Published • 18 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1
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Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Paper • 2204.04581 • Published • 1 -
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Paper • 2303.08033 • Published • 1 -
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Paper • 2305.14869 • Published • 1 -
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering
Paper • 2305.05936 • Published • 1
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Paper • 2310.15511 • Published • 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 • 27 -
SmartPlay : A Benchmark for LLMs as Intelligent Agents
Paper • 2310.01557 • Published • 13 -
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Paper • 2310.03214 • Published • 19
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Paper • 2310.15511 • Published • 5 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 13 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 35