ref_bench/Retrieval-Augmented Generation for Large Language Models_bench.json

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        "title": "Language Models are Few-Shot Learners"
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        "arxivId": "1910.10683",
        "title": "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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        "arxivId": "1908.10084",
        "title": "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks"
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        "title": "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension"
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        "arxivId": "2307.09288",
        "title": "Llama 2: Open Foundation and Fine-Tuned Chat Models"
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        "arxivId": "2204.02311",
        "title": "PaLM: Scaling Language Modeling with Pathways"
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        "title": "Evaluating Large Language Models Trained on Code"
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        "arxivId": "2101.00190",
        "title": "Prefix-Tuning: Optimizing Continuous Prompts for Generation"
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        "arxivId": "2004.04906",
        "title": "Dense Passage Retrieval for Open-Domain Question Answering"
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        "arxivId": "1909.01066",
        "title": "Language Models as Knowledge Bases?"
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        "arxivId": "1704.00051",
        "title": "Reading Wikipedia to Answer Open-Domain Questions"
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        "title": "REALM: Retrieval-Augmented Language Model Pre-Training"
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        "title": "Graph Neural Networks for Social Recommendation"
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        "title": "ReAct: Synergizing Reasoning and Acting in Language Models"
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        "title": "Toolformer: Language Models Can Teach Themselves to Use Tools"
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        "title": "Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?"
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        "title": "What Makes Good In-Context Examples for GPT-3?"
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        "title": "ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT"
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        "arxivId": "2007.01282",
        "title": "Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering"
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        "arxivId": "2312.10997",
        "title": "Retrieval-Augmented Generation for Large Language Models: A Survey"
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        "title": "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
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        "title": "Few-shot Learning with Retrieval Augmented Language Models"
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        "title": "Learning To Retrieve Prompts for In-Context Learning"
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        "title": "A Knowledge-Grounded Neural Conversation Model"
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        "arxivId": "2207.05221",
        "title": "Language Models (Mostly) Know What They Know"
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        "title": "Retrieval Augmentation Reduces Hallucination in Conversation"
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        "title": "REPLUG: Retrieval-Augmented Black-Box Language Models"
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        "arxivId": "2211.17192",
        "title": "Fast Inference from Transformers via Speculative Decoding"
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        "arxivId": "2302.00083",
        "title": "In-Context Retrieval-Augmented Language Models"
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        "title": "Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection"
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        "title": "Improving Neural Language Models with a Continuous Cache"
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        "title": "Template-Based Named Entity Recognition Using BART"
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        "title": "Generate rather than Retrieve: Large Language Models are Strong Context Generators"
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        "title": "Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions"
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        "arxivId": "2107.07566",
        "title": "Internet-Augmented Dialogue Generation"
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        "arxivId": "2302.01318",
        "title": "Accelerating Large Language Model Decoding with Speculative Sampling"
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        "title": "AmbigQA: Answering Ambiguous Open-domain Questions"
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        "title": "SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer"
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        "arxivId": "2012.04584",
        "title": "Distilling Knowledge from Reader to Retriever for Question Answering"
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        "arxivId": "2306.13063",
        "title": "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
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        "arxivId": "2203.11147",
        "title": "Teaching language models to support answers with verified quotes"
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        "arxivId": "2107.07567",
        "title": "Beyond Goldfish Memory: Long-Term Open-Domain Conversation"
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        "title": "How Context Affects Language Models' Factual Predictions"
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        "arxivId": "2212.14024",
        "title": "Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP"
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        "title": "Selective Annotation Makes Language Models Better Few-Shot Learners"
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    "2209.14610": {
        "arxivId": "2209.14610",
        "title": "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning"
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        "arxivId": "2307.02046",
        "title": "Recommender Systems in the Era of Large Language Models (LLMs)"
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        "title": "Maximum inner-product search using cone trees"
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        "arxivId": "2212.10496",
        "title": "Precise Zero-Shot Dense Retrieval without Relevance Labels"
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        "title": "Trustworthy AI: A Computational Perspective"
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        "arxivId": "2203.08913",
        "title": "Memorizing Transformers"
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        "arxivId": "2212.02437",
        "title": "In-context Examples Selection for Machine Translation"
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        "title": "Pre-training via Paraphrasing"
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        "title": "Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index"
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        "arxivId": "2106.05346",
        "title": "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering"
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        "title": "Entities as Experts: Sparse Memory Access with Entity Supervision"
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    "1911.02707": {
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        "title": "Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs"
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        "arxivId": "2305.06983",
        "title": "Active Retrieval Augmented Generation"
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        "title": "Retrieval Augmented Code Generation and Summarization"
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        "arxivId": "2211.05110",
        "title": "Large Language Models with Controllable Working Memory"
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    "2205.12674": {
        "arxivId": "2205.12674",
        "title": "Training Language Models with Memory Augmentation"
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    "2305.15294": {
        "arxivId": "2305.15294",
        "title": "Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy"
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    "2310.01558": {
        "arxivId": "2310.01558",
        "title": "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
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        "title": "Internet-augmented language models through few-shot prompting for open-domain question answering"
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        "title": "Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning"
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        "title": "DocPrompting: Generating Code by Retrieving the Docs"
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        "title": "KNN-Diffusion: Image Generation via Large-Scale Retrieval"
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        "title": "Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing"
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        "title": "Adaptive Semiparametric Language Models"
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        "title": "Efficient Nearest Neighbor Language Models"
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        "title": "ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model"
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        "title": "Fine-Tuning LLaMA for Multi-Stage Text Retrieval"
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        "title": "Retrieval-Augmented Generation for AI-Generated Content: A Survey"
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        "title": "Unified Demonstration Retriever for In-Context Learning"
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        "title": "Compositional Exemplars for In-context Learning"
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        "title": "Graph Trend Filtering Networks for Recommendation"
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        "title": "RA-DIT: Retrieval-Augmented Dual Instruction Tuning"
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        "title": "Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering"
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        "title": "Attacking Black-box Recommendations via Copying Cross-domain User Profiles"
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        "title": "FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation"
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        "title": "Improving Language Models via Plug-and-Play Retrieval Feedback"
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        "title": "Learning to Retrieve Passages without Supervision"
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        "title": "RevCore: Review-Augmented Conversational Recommendation"
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        "title": "Smallcap: Lightweight Image Captioning Prompted with Retrieval Augmentation"
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        "title": "Re2G: Retrieve, Rerank, Generate"
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        "title": "Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory"
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        "title": "Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator"
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        "arxivId": "2210.17236",
        "title": "When Language Model Meets Private Library"
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        "arxivId": "2304.06762",
        "title": "Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study"
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        "title": "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models"
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        "title": "UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation"
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        "title": "Nonparametric Masked Language Modeling"
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        "title": "SpecTr: Fast Speculative Decoding via Optimal Transport"
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        "title": "Retrieval-Augmented Transformer for Image Captioning"
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        "title": "Knowledge-enhanced Black-box Attacks for Recommendations"
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        "title": "A Comprehensive Survey on Trustworthy Recommender Systems"
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        "arxivId": "2304.14732",
        "title": "Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks"
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        "title": "Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation"
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        "title": "XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing"
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        "title": "Fairly Adaptive Negative Sampling for Recommendations"
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        "title": "Self-Knowledge Guided Retrieval Augmentation for Large Language Models"
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        "title": "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)"
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        "title": "In-Context Learning for Text Classification with Many Labels"
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        "title": "Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning"
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        "title": "Decoupled Context Processing for Context Augmented Language Modeling"
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        "title": "PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter"
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        "title": "Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data"
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        "title": "Bilinear Supervised Hashing Based on 2D Image Features"
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        "title": "Linear-Time Graph Neural Networks for Scalable Recommendations"
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        "title": "NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation"
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        "title": "Attention is All you Need"
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        "title": "Training language models to follow instructions with human feedback"
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        "title": "GPT-4 Technical Report"
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        "title": "Unsupervised Cross-lingual Representation Learning at Scale"
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        "title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks"
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        "arxivId": "1702.08734",
        "title": "Billion-Scale Similarity Search with GPUs"
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        "title": "OPT: Open Pre-trained Transformer Language Models"
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        "title": "SimCSE: Simple Contrastive Learning of Sentence Embeddings"
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        "title": "Measuring Massive Multitask Language Understanding"
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        "arxivId": "1905.00537",
        "title": "SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems"
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        "arxivId": "1705.03551",
        "title": "TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension"
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        "arxivId": "1809.09600",
        "title": "HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering"
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    "2211.05100": {
        "arxivId": "2211.05100",
        "title": "BLOOM: A 176B-Parameter Open-Access Multilingual Language Model"
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    "2101.00027": {
        "arxivId": "2101.00027",
        "title": "The Pile: An 800GB Dataset of Diverse Text for Language Modeling"
    },
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        "arxivId": "2202.03629",
        "title": "Survey of Hallucination in Natural Language Generation"
    },
    "1803.05355": {
        "arxivId": "1803.05355",
        "title": "FEVER: a Large-scale Dataset for Fact Extraction and VERification"
    },
    "1603.09320": {
        "arxivId": "1603.09320",
        "title": "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs"
    },
    "2103.10360": {
        "arxivId": "2103.10360",
        "title": "GLM: General Language Model Pretraining with Autoregressive Blank Infilling"
    },
    "2007.00808": {
        "arxivId": "2007.00808",
        "title": "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
    },
    "2112.09332": {
        "arxivId": "2112.09332",
        "title": "WebGPT: Browser-assisted question-answering with human feedback"
    },
    "1811.01241": {
        "arxivId": "1811.01241",
        "title": "Wizard of Wikipedia: Knowledge-Powered Conversational agents"
    },
    "2112.04426": {
        "arxivId": "2112.04426",
        "title": "Improving language models by retrieving from trillions of tokens"
    },
    "1911.00172": {
        "arxivId": "1911.00172",
        "title": "Generalization through Memorization: Nearest Neighbor Language Models"
    },
    "2204.06745": {
        "arxivId": "2204.06745",
        "title": "GPT-NeoX-20B: An Open-Source Autoregressive Language Model"
    },
    "2306.01116": {
        "arxivId": "2306.01116",
        "title": "The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only"
    },
    "1909.06146": {
        "arxivId": "1909.06146",
        "title": "PubMedQA: A Dataset for Biomedical Research Question Answering"
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    "2112.09118": {
        "arxivId": "2112.09118",
        "title": "Unsupervised Dense Information Retrieval with Contrastive Learning"
    },
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        "arxivId": "2009.02252",
        "title": "KILT: a Benchmark for Knowledge Intensive Language Tasks"
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    "2304.03277": {
        "arxivId": "2304.03277",
        "title": "Instruction Tuning with GPT-4"
    },
    "2009.13081": {
        "arxivId": "2009.13081",
        "title": "What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams"
    },
    "2003.06713": {
        "arxivId": "2003.06713",
        "title": "Document Ranking with a Pretrained Sequence-to-Sequence Model"
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    "2212.03533": {
        "arxivId": "2212.03533",
        "title": "Text Embeddings by Weakly-Supervised Contrastive Pre-training"
    },
    "2112.07899": {
        "arxivId": "2112.07899",
        "title": "Large Dual Encoders Are Generalizable Retrievers"
    },
    "1910.14424": {
        "arxivId": "1910.14424",
        "title": "Multi-Stage Document Ranking with BERT"
    },
    "2205.05131": {
        "arxivId": "2205.05131",
        "title": "UL2: Unifying Language Learning Paradigms"
    },
    "2112.10668": {
        "arxivId": "2112.10668",
        "title": "Few-shot Learning with Multilingual Generative Language Models"
    },
    "2010.04389": {
        "arxivId": "2010.04389",
        "title": "A Survey of Knowledge-enhanced Text Generation"
    },
    "2202.06991": {
        "arxivId": "2202.06991",
        "title": "Transformer Memory as a Differentiable Search Index"
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    "2203.14371": {
        "arxivId": "2203.14371",
        "title": "MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering"
    },
    "1804.05936": {
        "arxivId": "1804.05936",
        "title": "Learning a Deep Listwise Context Model for Ranking Refinement"
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}