Cover Image

RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kuo, Tzu-Lin, Liao, Feng-Ting, Hsieh, Mu-Wei, Chang, Fu-Chieh, Hsu, Po-Chun, Shiu, Da-Shan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation
by: Chen, Yi-Chang, et al.
Published: (2024)

Breeze-7B Technical Report
by: Hsu, Chan-Jan, et al.
Published: (2024)

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities
by: Research, MediaTek, et al.
Published: (2025)

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR
by: Hsu, Chan-Jan, et al.
Published: (2024)

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
by: Guo, Lu, et al.
Published: (2025)

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts
by: Chen, Yi-Chang, et al.
Published: (2026)

Revisiting the Shape Convention of Transformer Language Models
by: Liao, Feng-Ting, et al.
Published: (2026)

Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs
by: Hsieh, Chou-Ying, et al.
Published: (2024)

LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
by: Chen, Yen-Shan, et al.
Published: (2024)

Relationship between nerve ultrasonography image and electrophysiology in diabetic polyneuropathy
by: Pei‐Chen Hsieh, et al.
Published: (2024)

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
by: Feng, Jie, et al.
Published: (2024)

Intrinsic Nernst Effect from Berry Curvature in Superconductors
by: Hsieh, Tzu-Chi, et al.
Published: (2025)

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2025)

RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes
by: Baltaxe, Michael, et al.
Published: (2026)

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
by: Li, Haolin, et al.
Published: (2025)

Unveiling the Latent Directions of Reflection in Large Language Models
by: Chang, Fu-Chieh, et al.
Published: (2025)

Breeze Taigi: Benchmarks and Models for Taiwanese Hokkien Speech Recognition and Synthesis
by: Lan, Yu-Siang, et al.
Published: (2026)

DebugBench: Evaluating Debugging Capability of Large Language Models
by: Tian, Runchu, et al.
Published: (2024)

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
by: Su, Hung-Ting, et al.
Published: (2024)

A Particle Swarm Optimization‐Based Approach Coupled With Large Language Models for Prompt Optimization
by: Po‐Cheng Hsieh, et al.
Published: (2025)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)

Digital and Hybrid Precoding and RF Chain Selection Designs for Energy Efficient Multi-User MIMO-OFDM ISAC Systems
by: Kang, Po-Chun, et al.
Published: (2026)

Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation
by: Lee, Hung-Shin, et al.
Published: (2025)

CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
by: Lin, Guan-Ting, et al.
Published: (2025)

Taiwan Safety Benchmark and Breeze Guard: Toward Trustworthy AI for Taiwanese Mandarin
by: Hsu, Po-Chun, et al.
Published: (2026)

EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models
by: Liao, Chun-Chieh, et al.
Published: (2024)

Learning Retrieval Augmentation for Personalized Dialogue Generation
by: Huang, Qiushi, et al.
Published: (2024)

RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
by: Lin, Jingru, et al.
Published: (2025)

QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
by: Kao, Kuei-Chun, et al.
Published: (2025)

Predictors of Massive Transfusion in Patients With Hollow Organ Injury After Blunt Multiple Trauma: A Cohort of Blunt Bowel Mesenteric Injury
by: Ting-Min Hsieh, et al.
Published: (2026)

MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
by: Hu, Wenbo, et al.
Published: (2024)

Large Language Model Informed Patent Image Retrieval
by: Lo, Hao-Cheng, et al.
Published: (2024)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
by: Ke, Yu He, et al.
Published: (2024)

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity
by: Hsu, Chan-Jan, et al.
Published: (2025)

An Exploratory Framework for Future SETI Applications: Detecting Generative Reactivity via Language Models
by: Yu, Po-Chieh
Published: (2025)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)

FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
by: Que, Haoran, et al.
Published: (2024)

Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner
by: Lin, Guan-Ting, et al.
Published: (2025)