:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chu, KuanChao, Chen, Yi-Pei, Nakayama, Hideki
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2412.21102
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues
por: Chu, KuanChao, et al.
Publicado: (2024)

LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation
por: Chen, Yi-Pei, et al.
Publicado: (2024)

A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization
por: Chu, KuanChao, et al.
Publicado: (2024)

Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation
por: Chu, KuanChao, et al.
Publicado: (2024)

Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations
por: Chen, Yi-Pei, et al.
Publicado: (2024)

Adapting LLM Agents with Universal Feedback in Communication
por: Wang, Kuan, et al.
Publicado: (2023)

Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
por: Zhou, Xueyang, et al.
Publicado: (2025)

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
por: Duan, Jinhao, et al.
Publicado: (2025)

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
por: Pei, Jiahuan, et al.
Publicado: (2025)

Automated Survey Collection with LLM-based Conversational Agents
por: Kaiyrbekov, Kurmanbek, et al.
Publicado: (2025)

Adaptive Memory Admission Control for LLM Agents
por: Zhang, Guilin, et al.
Publicado: (2026)

Creativity in LLM-based Multi-Agent Systems: A Survey
por: Lin, Yi-Cheng, et al.
Publicado: (2025)

Exploring Reasoning Reward Model for Agents
por: Fan, Kaixuan, et al.
Publicado: (2026)

Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
por: Song, Yueqi, et al.
Publicado: (2025)

Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets
por: Joshi, Harshit, et al.
Publicado: (2024)

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
por: Liu, Na, et al.
Publicado: (2024)

Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey
por: Guan, Shengyue, et al.
Publicado: (2025)

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
por: Tang, Jiabin, et al.
Publicado: (2025)

MPCEval: A Benchmark for Multi-Party Conversation Generation
por: Zhang, Minxing, et al.
Publicado: (2026)

Generating High Quality Synthetic Data for Dutch Medical Conversations
por: Kuan, Cecilia, et al.
Publicado: (2026)

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
por: Zeng, Jingying, et al.
Publicado: (2025)

NeuroFilter: Privacy Guardrails for Conversational LLM Agents
por: Das, Saswat, et al.
Publicado: (2026)

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
por: Wang, Tianlong, et al.
Publicado: (2024)

WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning
por: Zhuang, Yuchen, et al.
Publicado: (2025)

$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
por: Barres, Victor, et al.
Publicado: (2025)

Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure
por: Lu, Yida, et al.
Publicado: (2026)

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
por: Huang, Kung-Hsiang, et al.
Publicado: (2025)

Evaluating Very Long-Term Conversational Memory of LLM Agents
por: Maharana, Adyasha, et al.
Publicado: (2024)

SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation
por: Yu, Wenyi, et al.
Publicado: (2025)

DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation
por: Doropoulos, Stavros, et al.
Publicado: (2025)

Exploring Straightforward Conversational Red-Teaming
por: Kour, George, et al.
Publicado: (2024)

Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
por: Lee, Gisang, et al.
Publicado: (2024)

MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
por: Yin, Congchi, et al.
Publicado: (2024)

Criterion Validity of LLM-as-Judge for Business Outcomes in Conversational Commerce
por: Chen, Liang, et al.
Publicado: (2026)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
por: Chakraborty, Souradip, et al.
Publicado: (2025)

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent
por: Nguyen, Van Bach, et al.
Publicado: (2022)

META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
por: Sun, Liangtai, et al.
Publicado: (2022)

MIRIX: Multi-Agent Memory System for LLM-Based Agents
por: Wang, Yu, et al.
Publicado: (2025)

Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
por: Li, Yongqi, et al.
Publicado: (2026)

Multimodal Policy Internalization for Conversational Agents
por: Wang, Zhenhailong, et al.
Publicado: (2025)