KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval Paper • 2310.15511 • Published Oct 24, 2023 • 4
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Paper • 2310.13227 • Published Oct 20, 2023 • 11
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 • 33
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering Paper • 2308.13259 • Published Aug 25, 2023 • 2
You Only Look at Screens: Multimodal Chain-of-Action Agents Paper • 2309.11436 • Published Sep 20, 2023 • 1
EcoAssistant: Using LLM Assistant More Affordably and Accurately Paper • 2310.03046 • Published Oct 3, 2023 • 5
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation Paper • 2310.03214 • Published Oct 5, 2023 • 14
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning Paper • 2309.10814 • Published Sep 19, 2023 • 3
LLM Guided Inductive Inference for Solving Compositional Problems Paper • 2309.11688 • Published Sep 20, 2023 • 1
AskIt: Unified Programming Interface for Programming with Large Language Models Paper • 2308.15645 • Published Aug 29, 2023 • 1
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Paper • 2309.05653 • Published Sep 11, 2023 • 9
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models Paper • 2310.04406 • Published Oct 6, 2023 • 8
Retrieval-Generation Synergy Augmented Large Language Models Paper • 2310.05149 • Published Oct 8, 2023 • 1
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence Paper • 2310.05388 • Published Oct 9, 2023 • 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 Jan 25, 2023 • 1
GLIMMER: generalized late-interaction memory reranker Paper • 2306.10231 • Published Jun 17, 2023 • 7
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study Paper • 2304.06762 • Published Apr 13, 2023 • 1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model Paper • 2212.09146 • Published Dec 18, 2022 • 3
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks Paper • 2305.18395 • Published May 28, 2023 • 1
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs Paper • 2309.03118 • Published Sep 6, 2023 • 2
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge Paper • 2308.12682 • Published Aug 24, 2023 • 2
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification Paper • 2212.05276 • Published Dec 10, 2022 • 1
Zero-Shot Retrieval with Search Agents and Hybrid Environments Paper • 2209.15469 • Published Sep 30, 2022 • 1
MEMORY-VQ: Compression for Tractable Internet-Scale Memory Paper • 2308.14903 • Published Aug 28, 2023 • 1
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering Paper • 2204.04581 • Published Apr 10, 2022 • 1
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories Paper • 2212.10511 • Published Dec 20, 2022 • 1
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models Paper • 2308.07922 • Published Aug 15, 2023 • 16
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning Paper • 2304.14856 • Published Apr 28, 2023 • 1
Unsupervised Dense Information Retrieval with Contrastive Learning Paper • 2112.09118 • Published Dec 16, 2021 • 1
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models Paper • 2305.18323 • Published May 23, 2023 • 1
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Paper • 2304.09842 • Published Apr 19, 2023 • 1
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models Paper • 2309.12767 • Published Sep 22, 2023 • 1
Exploring the Integration Strategies of Retriever and Large Language Models Paper • 2308.12574 • Published Aug 24, 2023 • 1
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models Paper • 2308.10633 • Published Aug 21, 2023 • 1
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks Paper • 2304.14732 • Published Apr 28, 2023 • 1
Visual Programming: Compositional visual reasoning without training Paper • 2211.11559 • Published Nov 18, 2022 • 1
Aligning Large Multimodal Models with Factually Augmented RLHF Paper • 2309.14525 • Published Sep 25, 2023 • 29
In-Context Pretraining: Language Modeling Beyond Document Boundaries Paper • 2310.10638 • Published Oct 16, 2023 • 26
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback Paper • 2309.10691 • Published Sep 19, 2023 • 4
Making Retrieval-Augmented Language Models Robust to Irrelevant Context Paper • 2310.01558 • Published Oct 2, 2023 • 1
RAGAS: Automated Evaluation of Retrieval Augmented Generation Paper • 2309.15217 • Published Sep 26, 2023 • 3
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining Paper • 2310.07713 • Published Oct 11, 2023 • 3
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation Paper • 2310.04408 • Published Oct 6, 2023 • 1
Agents: An Open-source Framework for Autonomous Language Agents Paper • 2309.07870 • Published Sep 14, 2023 • 39
ControlLLM: Augment Language Models with Tools by Searching on Graphs Paper • 2310.17796 • Published Oct 26, 2023 • 15
Benchmarking Large Language Models in Retrieval-Augmented Generation Paper • 2309.01431 • Published Sep 4, 2023 • 1
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation Paper • 2307.11019 • Published Jul 20, 2023 • 1
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit Paper • 2306.05212 • Published Jun 8, 2023 • 1
RRAML: Reinforced Retrieval Augmented Machine Learning Paper • 2307.12798 • Published Jul 24, 2023 • 1
SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool Paper • 2308.03983 • Published Aug 8, 2023 • 1
Query2doc: Query Expansion with Large Language Models Paper • 2303.07678 • Published Mar 14, 2023 • 1
Generative Relevance Feedback with Large Language Models Paper • 2304.13157 • Published Apr 25, 2023 • 1
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models Paper • 2307.08303 • Published Jul 17, 2023 • 1
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval Paper • 2301.01820 • Published Jan 4, 2023 • 1
Exploring the Viability of Synthetic Query Generation for Relevance Prediction Paper • 2305.11944 • Published May 19, 2023 • 1
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker Paper • 2305.13729 • Published May 23, 2023 • 1
Augmented Large Language Models with Parametric Knowledge Guiding Paper • 2305.04757 • Published May 8, 2023 • 2
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval Paper • 2308.08285 • Published Aug 16, 2023 • 1
Learning to Retrieve In-Context Examples for Large Language Models Paper • 2307.07164 • Published Jul 14, 2023 • 20
Large Language Models are Built-in Autoregressive Search Engines Paper • 2305.09612 • Published May 16, 2023 • 1
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets Paper • 2309.17428 • Published Sep 29, 2023 • 1
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Paper • 2005.11401 • Published May 22, 2020 • 11
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs Paper • 2307.16789 • Published Jul 31, 2023 • 94
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models Paper • 2308.00675 • Published Aug 1, 2023 • 34
Toolformer: Language Models Can Teach Themselves to Use Tools Paper • 2302.04761 • Published Feb 9, 2023 • 10
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction Paper • 2305.18752 • Published May 30, 2023 • 2
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding Paper • 2310.07075 • Published Oct 10, 2023 • 1
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression Paper • 2310.15594 • Published Oct 24, 2023 • 1
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering Paper • 2305.15387 • Published May 24, 2023 • 1
End-to-end Knowledge Retrieval with Multi-modal Queries Paper • 2306.00424 • Published Jun 1, 2023 • 1
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering Paper • 2304.13649 • Published Apr 26, 2023 • 1
Plug-and-Play Knowledge Injection for Pre-trained Language Models Paper • 2305.17691 • Published May 28, 2023 • 1
Plug-and-Play Document Modules for Pre-trained Models Paper • 2305.17660 • Published May 28, 2023 • 1
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution Paper • 2307.08775 • Published Jul 17, 2023 • 1
Unifying Large Language Models and Knowledge Graphs: A Roadmap Paper • 2306.08302 • Published Jun 14, 2023 • 4
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In Paper • 2305.17331 • Published May 27, 2023 • 1
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models Paper • 2311.09210 • Published Nov 15, 2023 • 1
An Experimental Study on Pretraining Transformers from Scratch for IR Paper • 2301.10444 • Published Jan 25, 2023 • 1
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems Paper • 2311.11315 • Published Nov 19, 2023 • 6
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion Paper • 2312.14327 • Published Dec 21, 2023 • 6
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction Paper • 2310.15556 • Published Oct 24, 2023 • 1
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction Paper • 2401.06201 • Published Jan 11 • 2
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Paper • 2401.18059 • Published Jan 31 • 23
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval Paper • 2308.04711 • Published Aug 9, 2023 • 1
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge Paper • 2305.09955 • Published May 17, 2023 • 1
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation Paper • 2404.12753 • Published 24 days ago • 38
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference Paper • 2405.04065 • Published 6 days ago
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts Paper • 2404.02022 • Published Apr 2
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation Paper • 2404.06910 • Published Apr 10 • 1
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference Paper • 2404.15420 • Published 20 days ago • 6
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models Paper • 2403.15268 • Published Mar 22