:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Lin, Zhiming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2510.17940
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering
di: Vijayvargia, Abhay, et al.
Pubblicazione: (2025)

ICON: Intent-Context Coupling for Efficient Multi-Turn Jailbreak Attack
di: Lin, Xingwei, et al.
Pubblicazione: (2026)

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
di: Lang, Hao, et al.
Pubblicazione: (2023)

Drift No More? Context Equilibria in Multi-Turn LLM Interactions
di: Dongre, Vardhan, et al.
Pubblicazione: (2025)

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

Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs
di: Sinha, Aditya, et al.
Pubblicazione: (2026)

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

IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference
di: Liu, Guanming, et al.
Pubblicazione: (2026)

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue
di: Al-Lawati, Ali, et al.
Pubblicazione: (2026)

COINBench: Moving Beyond Individual Perspectives to Collective Intent Understanding
di: Li, Xiaozhe, et al.
Pubblicazione: (2026)

DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs
di: Albrethsen, Justin, et al.
Pubblicazione: (2026)

Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
di: Huang, Xijie, et al.
Pubblicazione: (2023)

Discourse Diversity in Multi-Turn Empathic Dialogue
di: Zhan, Hongli, 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)

ZipRL: Adaptive Multi-Turn Context Compression with Hindsight Response Replay
di: Hu, Zhexin, et al.
Pubblicazione: (2026)

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue
di: Shen, Xinjie, et al.
Pubblicazione: (2026)

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

InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
di: Liu, Ziyi, et al.
Pubblicazione: (2024)

CID-GraphRAG: Enhancing Multi-Turn Dialogue Systems through Dual-Pathway Retrieval of Conversation Flow and Context Semantics
di: Zhu, Ziqi, et al.
Pubblicazione: (2025)

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
di: Li, Yubo, et al.
Pubblicazione: (2025)

MuISQA: Multi-Intent Retrieval-Augmented Generation for Scientific Question Answering
di: Li, Zhiyuan, et al.
Pubblicazione: (2025)

Dynamic Context Tuning for Retrieval-Augmented Generation: Enhancing Multi-Turn Planning and Tool Adaptation
di: Soni, Jubin Abhishek, et al.
Pubblicazione: (2025)

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

Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
di: Chen, Jianlong, et al.
Pubblicazione: (2026)

Beyond Context: Large Language Models' Failure to Grasp Users' Intent
di: Hussain, Ahmed M., et al.
Pubblicazione: (2025)

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations
di: Lei, Yiming, et al.
Pubblicazione: (2025)

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production
di: Liu, Junhua, et al.
Pubblicazione: (2024)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
di: Zhang, Qianchi, et al.
Pubblicazione: (2024)

PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval
di: Xu, Tianyi, et al.
Pubblicazione: (2026)

DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue
di: Zhang, Feiyuan, et al.
Pubblicazione: (2025)

MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation
di: Cheng, Qinchuan, et al.
Pubblicazione: (2026)

ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue
di: Shen, Jiawei, et al.
Pubblicazione: (2026)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
di: Liu, Wanlong, et al.
Pubblicazione: (2024)

Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks
di: Tian, Aaron Xuxiang, et al.
Pubblicazione: (2025)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
di: Lee, Jinhyuk, et al.
Pubblicazione: (2024)

Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models
di: Lin, Zizhuo, et al.
Pubblicazione: (2026)

Sensitivity-Aware Retrieval-Augmented Intent Clarification
di: Larooij, Maik
Pubblicazione: (2026)

Structure and Diversity Aware Context Bubble Construction for Enterprise Retrieval Augmented Systems
di: Khurshid, Amir, et al.
Pubblicazione: (2026)

MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
di: Xie, Yunfei, et al.
Pubblicazione: (2026)

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
di: Yang, Lin, et al.
Pubblicazione: (2026)