ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs
arXiv.org · Peng Ding
Archive
Papers older than Paper Radar's one-year window. Each keeps the analysis it was published with.
ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
arXiv.org · Chenchen Zhang et al.
Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale
Congmin Min et al.
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment
arXiv.org · Ke-Han Lu et al.
From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
ICT express · M. Ferrag et al.
AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks
arXiv.org · L. Maben et al.
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
arXiv.org · Travis Thompson et al.
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
arXiv.org · Jiaru Zou et al.
CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
arXiv.org · D. Meher et al.
DeclarUI: Bridging Design and Development with Automated Declarative UI Code Generation
Proc. ACM Softw. Eng. · Ti Zhou et al.
SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
arXiv.org · Subhrangshu Nandi et al.
When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
arXiv.org · Zhishang Xiang et al.
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
arXiv.org · Xinyan Chen et al.
Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning
arXiv.org · Qing Jiang et al.
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning
Annual Meeting of the Association for Computational Linguistics · Junqi Gao et al.
SOVA-Bench: Benchmarking the Speech Conversation Ability for LLM-based Voice Assistant
Interspeech · Yixuan Hou et al.
Retrieval augmented generation for large language models in healthcare: A systematic review
PLOS Digital Health · L. M. Amugongo et al.
GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
Conference on Empirical Methods in Natural Language Processing · Sahiti Yerramilli et al.
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
Conference on Empirical Methods in Natural Language Processing · Gangwei Jiang et al.
MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
arXiv.org · Thang Nguyen et al.
Document GraphRAG: Knowledge Graph Enhanced Retrieval Augmented Generation for Document Question Answering Within the Manufacturing Domain
Electronics · Simon Knollmeyer et al.
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
Conference on Empirical Methods in Natural Language Processing · Kangan Qian et al.
Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model
Interspeech · Ke Hu et al.
FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
arXiv.org · Guangda Liu et al.
Large Language Model Based Autonomous Task Planning for Abstract Commands
IEEE International Conference on Robotics and Automation · Seokjoon Kwon et al.
HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems
arXiv.org · Zhipeng Hou et al.
SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation
arXiv.org · Wenyi Yu et al.
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
IEEE Internet of Things Journal · Mingjin Zhang et al.
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
arXiv.org · Xiaotian Lin et al.
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
arXiv.org · Varatheepan Paramanayakam et al.
Taming the Titans: A Survey of Efficient LLM Inference Serving
arXiv.org · Ranran Zhen et al.
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
arXiv.org · A. Zandieh et al.
Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets
International Conference on Software Engineering · S. Patel et al.
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
International Conference on Learning Representations · Zijing Shi et al.
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
arXiv.org · Aoran Gan et al.
Retrieval-Augmented Generation with Conflicting Evidence
arXiv.org · Han Wang et al.
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Computer Vision and Pattern Recognition · Ryota Tanaka et al.
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
ACM Multimedia · Yang Shi et al.
HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
ACM Multimedia · Pei Liu et al.
Retrieval-Augmented Generation (RAG) Chatbots for Education: A Survey of Applications
Applied Sciences · Jakub Swacha et al.
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
AAAI Conference on Artificial Intelligence · Ziyang Ma et al.
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
arXiv.org · Yukun Qi et al.
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · Yang Jiao et al.
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · Teng Shi et al.
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
arXiv.org · Ran Xu et al.
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
npj Digital Medicine · Yuhe Ke et al.
VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation
arXiv.org · Yuhao Wang et al.
Practical Poisoning Attacks against Retrieval-Augmented Generation
arXiv.org · Baolei Zhang et al.
Enhancing medical AI with retrieval-augmented generation: A mini narrative review
Digital Health · O. K. Gargari et al.
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
Haoran Luo et al.
A Survey of Multimodal Retrieval-Augmented Generation
arXiv.org · Lang Mei et al.
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
arXiv.org · Yuyao Ge et al.
A Survey of Large Language Model Agents for Question Answering
arXiv.org · Murong Yue
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook
arXiv.org · Xu Zheng et al.
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving
International Symposium on Computer Architecture · Wenqi Jiang et al.
Empowering GraphRAG with Knowledge Filtering and Integration
Conference on Empirical Methods in Natural Language Processing · Kai Guo et al.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
arXiv.org · Yaoting Wang et al.
Retrieval-Augmented Generation with Hierarchical Knowledge
Conference on Empirical Methods in Natural Language Processing · Haoyu Huang et al.
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
arXiv.org · Mingyue Cheng et al.
Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model
International Conference on Human Factors in Computing Systems · Yining Cao et al.
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
arXiv.org · Xinsheng Wang et al.
GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping
2025 IEEE/ACM 47th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · Kristian Kolthoff et al.
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision
Conference on Empirical Methods in Natural Language Processing · Dawei Zhu et al.
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Conference on Empirical Methods in Natural Language Processing · Qiuchen Wang et al.
ESPnet-SpeechLM: An Open Speech Language Model Toolkit
North American Chapter of the Association for Computational Linguistics · Jinchuan Tian et al.
Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
Knowledge Discovery and Data Mining · Yutong Zhang et al.