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Goal-Oriented Dialog
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Achieving a pre-defined goal through a dialog.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Exploring Human-Like Thinking in Search Simulations with Large Language Models
Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models
User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation
VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
LMAgent: A Large-scale Multimodal Agents Society for Multi-user Simulation
Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
USimAgent: Large Language Models for Simulating Search Users
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents
CIRCLE: Multi-Turn Query Clarifications with Reinforcement Learning
Generalized zero-shot audio-to-intent classification
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
User Simulation for Evaluating Information Access Systems
User Behavior Simulation with Large Language Model based Agents
In-Context Learning User Simulators for Task-Oriented Dialog Systems
Theoretical Analysis on the Efficiency of Interleaved Comparisons
An In-depth Investigation of User Response Simulation for Conversational Search
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.