KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Paper • 2310.15511 • Published • 5
RAG
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ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 15 -
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 • 36 -
FireAct: Toward Language Agent Fine-tuning
Paper • 2310.05915 • Published • 2 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
You Only Look at Screens: Multimodal Chain-of-Action Agents
Paper • 2309.11436 • Published • 1 -
EcoAssistant: Using LLM Assistant More Affordably and Accurately
Paper • 2310.03046 • Published • 6 -
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Paper • 2310.03214 • Published • 20 -
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Paper • 2309.10814 • Published • 3 -
LLM Guided Inductive Inference for Solving Compositional Problems
Paper • 2309.11688 • Published • 1 -
AskIt: Unified Programming Interface for Programming with Large Language Models
Paper • 2308.15645 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1 -
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
Paper • 2310.05388 • Published • 4 -
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Paper • 2301.10448 • Published • 1 -
GLIMMER: generalized late-interaction memory reranker
Paper • 2306.10231 • Published • 9 -
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Paper • 2304.06762 • Published • 1 -
Long-range Language Modeling with Self-retrieval
Paper • 2306.13421 • Published • 17 -
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Paper • 2212.09146 • Published • 3 -
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Paper • 2305.18395 • Published • 1 -
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs
Paper • 2309.03118 • Published • 2 -
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
Paper • 2308.12682 • Published • 2 -
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
Paper • 2212.05276 • Published • 1 -
Zero-Shot Retrieval with Search Agents and Hybrid Environments
Paper • 2209.15469 • Published • 1 -
Hybrid and Collaborative Passage Reranking
Paper • 2305.09313 • Published • 1 -
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Paper • 2308.14903 • Published • 1 -
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Paper • 2204.04581 • Published • 1 -
Retrieval-Augmented Multimodal Language Modeling
Paper • 2211.12561 • Published • 1 -
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Paper • 2212.10511 • Published • 1 -
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
Paper • 2308.07922 • Published • 19 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
Unsupervised Dense Information Retrieval with Contrastive Learning
Paper • 2112.09118 • Published • 1 -
Memorizing Transformers
Paper • 2203.08913 • Published • 2 -
A General-Purpose Multilingual Document Encoder
Paper • 2305.07016 • Published • 1 -
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
Paper • 2305.18323 • Published • 1 -
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper • 2304.09842 • Published • 2 -
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models
Paper • 2309.12767 • Published • 1 -
Exploring the Integration Strategies of Retriever and Large Language Models
Paper • 2308.12574 • Published • 1 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
Paper • 2304.14732 • Published • 2 -
Visual Programming: Compositional visual reasoning without training
Paper • 2211.11559 • Published • 1 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 32 -
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper • 2310.10638 • Published • 30 -
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Paper • 2309.10691 • Published • 4 -
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Paper • 2310.01558 • Published • 2 -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 4 -
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Paper • 2310.08319 • Published • 4 -
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Paper • 2310.07713 • Published • 3 -
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Paper • 2310.04408 • Published • 1 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
ControlLLM: Augment Language Models with Tools by Searching on Graphs
Paper • 2310.17796 • Published • 18 -
Benchmarking Large Language Models in Retrieval-Augmented Generation
Paper • 2309.01431 • Published • 1 -
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
Paper • 2307.11019 • Published • 1 -
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Paper • 2306.05212 • Published • 1 -
Recitation-Augmented Language Models
Paper • 2210.01296 • Published • 1 -
RRAML: Reinforced Retrieval Augmented Machine Learning
Paper • 2307.12798 • Published • 1 -
SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool
Paper • 2308.03983 • Published • 1 -
Query2doc: Query Expansion with Large Language Models
Paper • 2303.07678 • Published • 2 -
Generative Relevance Feedback with Large Language Models
Paper • 2304.13157 • Published • 1 -
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Paper • 2307.08303 • Published • 1 -
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
Paper • 2301.01820 • Published • 1 -
Exploring the Viability of Synthetic Query Generation for Relevance Prediction
Paper • 2305.11944 • Published • 1 -
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
Paper • 2305.13729 • Published • 1 -
Augmented Large Language Models with Parametric Knowledge Guiding
Paper • 2305.04757 • Published • 2 -
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
Paper • 2308.08285 • Published • 1 -
Learning to Retrieve In-Context Examples for Large Language Models
Paper • 2307.07164 • Published • 23 -
Large Language Models are Built-in Autoregressive Search Engines
Paper • 2305.09612 • Published • 1 -
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
Paper • 2309.17428 • Published • 1 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 102 -
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Paper • 2308.00675 • Published • 37 -
DocPrompting: Generating Code by Retrieving the Docs
Paper • 2207.05987 • Published • 1 -
Toolformer: Language Models Can Teach Themselves to Use Tools
Paper • 2302.04761 • Published • 12 -
SAIL: Search-Augmented Instruction Learning
Paper • 2305.15225 • Published • 2 -
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Paper • 2305.18752 • Published • 5 -
Retrieval meets Long Context Large Language Models
Paper • 2310.03025 • Published • 4 -
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding
Paper • 2310.07075 • Published • 1 -
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
Paper • 2310.15594 • Published • 1 -
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
Paper • 2305.15387 • Published • 2 -
End-to-end Knowledge Retrieval with Multi-modal Queries
Paper • 2306.00424 • Published • 1 -
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
Paper • 2304.13649 • Published • 1 -
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 -
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Paper • 2305.17691 • Published • 1 -
Plug-and-Play Document Modules for Pre-trained Models
Paper • 2305.17660 • Published • 1 -
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution
Paper • 2307.08775 • Published • 1 -
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Paper • 2306.08302 • Published • 3 -
Retrieve Anything To Augment Large Language Models
Paper • 2310.07554 • Published • 6 -
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
Paper • 2305.17331 • Published • 1 -
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Paper • 2311.09210 • Published • 2 -
An Experimental Study on Pretraining Transformers from Scratch for IR
Paper • 2301.10444 • Published • 2 -
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Paper • 2311.11315 • Published • 7 -
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion
Paper • 2312.14327 • Published • 7 -
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
Paper • 2310.15556 • Published • 1 -
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Paper • 2401.06201 • Published • 2 -
Corrective Retrieval Augmented Generation
Paper • 2401.15884 • Published • 4 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
Paper • 2308.04711 • Published • 1 -
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Paper • 2305.09955 • Published • 1 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 26 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 43 -
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference
Paper • 2405.04065 • Published -
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
Paper • 2404.02022 • Published -
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
Paper • 2404.06910 • Published • 3 -
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 11 -
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models
Paper • 2403.15268 • Published -
Better Synthetic Data by Retrieving and Transforming Existing Datasets
Paper • 2404.14361 • Published • 2 -
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Paper • 2405.10040 • Published -
Towards a Robust Retrieval-Based Summarization System
Paper • 2403.19889 • Published • 1 -
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models
Paper • 2405.10311 • Published -
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Paper • 2405.14831 • Published • 5 -
Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval
Paper • 2210.15133 • Published -
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
Paper • 2406.01549 • Published -
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
Paper • 2407.01965 • Published -
Conversational Query Reformulation with the Guidance of Retrieved Documents
Paper • 2407.12363 • Published -
Crafting the Path: Robust Query Rewriting for Information Retrieval
Paper • 2407.12529 • Published -
Optimizing Query Generation for Enhanced Document Retrieval in RAG
Paper • 2407.12325 • Published • 1 -
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
Paper • 2407.16833 • Published -
How to Build an AI Tutor that Can Adapt to Any Course and Provide Accurate Answers Using Large Language Model and Retrieval-Augmented Generation
Paper • 2311.17696 • Published -
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
Paper • 2408.08066 • Published