Copertina

RECAP: REwriting Conversations for Intent Understanding in Agentic Planning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mitra, Kushan, Zhang, Dan, Kim, Hannah, Hruschka, Estevam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Verification-Aware Planning for Multi-Agent Systems
di: Xu, Tianyang, et al.
Pubblicazione: (2025)

FactLens: Benchmarking Fine-Grained Fact Verification
di: Mitra, Kushan, et al.
Pubblicazione: (2024)

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
di: Mishra, Aditi, et al.
Pubblicazione: (2023)

AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
di: Kim, Hannah, et al.
Pubblicazione: (2025)

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation
di: Hassell, Jackson, et al.
Pubblicazione: (2025)

Do Agents Need to Plan Step-by-Step? Rethinking Planning Horizon in Data-Centric Tool Calling
di: Otani, Naoki, et al.
Pubblicazione: (2026)

Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset
di: Liu, Rui, et al.
Pubblicazione: (2024)

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning
di: Chakraborty, Amartya, et al.
Pubblicazione: (2025)

A Dynamic Self-Evolving Extraction System
di: Amin-Naseri, Moin, et al.
Pubblicazione: (2026)

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
di: Liu, Junhua, et al.
Pubblicazione: (2024)

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2026)

Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2025)

Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation
di: Liu, Geng, et al.
Pubblicazione: (2026)

Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning?
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2025)

Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2025)

From Task Solving to Robust Real-World Adaptation in LLM Agents
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2026)

Multi-Conditional Ranking with Large Language Models
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2024)

Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
di: Wu, Di, et al.
Pubblicazione: (2025)

A Usage-centric Take on Intent Understanding in E-Commerce
di: Zhou, Wendi, et al.
Pubblicazione: (2024)

OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations
di: Chen, Jiangwang, et al.
Pubblicazione: (2026)

DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
di: Zhang, Yinger, et al.
Pubblicazione: (2026)

ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
di: Li, Xiaozhe, et al.
Pubblicazione: (2025)

RECAP: Resistance Capture in Text-based Mental Health Counseling with Large Language Models
di: Li, Anqi, et al.
Pubblicazione: (2026)

How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning
di: He, Zeyu, et al.
Pubblicazione: (2026)

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations
di: Zheng, Mingqian, et al.
Pubblicazione: (2026)

Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning
di: Fouilhé, Guilhem, et al.
Pubblicazione: (2026)

RECAP: Retrieval-Augmented Audio Captioning
di: Ghosh, Sreyan, et al.
Pubblicazione: (2023)

PCQPR: Proactive Conversational Question Planning with Reflection
di: Guo, Shasha, et al.
Pubblicazione: (2024)

Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
di: Gody, Reem, et al.
Pubblicazione: (2025)

ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
di: Yin, Shangjian, et al.
Pubblicazione: (2024)

Understanding and Optimizing Agentic Workflows via Shapley value
di: Yang, Yingxuan, et al.
Pubblicazione: (2025)

Semantic XPath: Structured Agentic Memory Access for Conversational AI
di: Liu, Yifan Simon, et al.
Pubblicazione: (2026)

Self-Taught Agentic Long Context Understanding
di: Zhuang, Yufan, et al.
Pubblicazione: (2025)

MEGAnno+: A Human-LLM Collaborative Annotation System
di: Kim, Hannah, et al.
Pubblicazione: (2024)

Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI
di: Sarin, Samarth, et al.
Pubblicazione: (2025)

AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents
di: Kim, Hojoon, et al.
Pubblicazione: (2026)

IntentGrasp: A Comprehensive Benchmark for Intent Understanding
di: Yin, Yuwei, et al.
Pubblicazione: (2026)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
di: Kim, Jaekyeom, et al.
Pubblicazione: (2024)

VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures
di: Sung, Yoo Yeon, et al.
Pubblicazione: (2025)

AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
di: Wang, Weiyi, et al.
Pubblicazione: (2026)