stereoplegic
's Collections
KITAB: Evaluating LLMs on Constraint Satisfaction for Information
Retrieval
Paper
•
2310.15511
•
Published
•
4
ToolChain*: Efficient Action Space Navigation in Large Language Models
with A* Search
Paper
•
2310.13227
•
Published
•
12
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
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
•
5
FreshLLMs: Refreshing Large Language Models with Search Engine
Augmentation
Paper
•
2310.03214
•
Published
•
18
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
•
8
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
•
7
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
•
16
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
•
17
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
Paper
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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
•
1
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
•
1
Visual Programming: Compositional visual reasoning without training
Paper
•
2211.11559
•
Published
•
1
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper
•
2309.14525
•
Published
•
29
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper
•
2310.10638
•
Published
•
28
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
•
3
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
•
41
ControlLLM: Augment Language Models with Tools by Searching on Graphs
Paper
•
2310.17796
•
Published
•
16
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
•
1
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
•
21
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
•
12
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
APIs
Paper
•
2307.16789
•
Published
•
98
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language
Models
Paper
•
2308.00675
•
Published
•
35
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
•
11
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
•
3
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
•
1
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
•
1
An Experimental Study on Pretraining Transformers from Scratch for IR
Paper
•
2301.10444
•
Published
•
1
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language
Model-based Agents in Real-world Systems
Paper
•
2311.11315
•
Published
•
6
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for
Text Entry: A Case Study on Abbreviation Expansion
Paper
•
2312.14327
•
Published
•
6
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
•
3
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper
•
2401.18059
•
Published
•
35
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
•
24
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler
Generation
Paper
•
2404.12753
•
Published
•
41
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
•
2
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper
•
2404.15420
•
Published
•
7
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
•
1
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
•
3
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
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