Learning to Ask: Conversational Product Search via Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zou, Jie, Huang, Jimmy Xiangji, Ren, Zhaochun, Kanoulas, Evangelos
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PSCon: Product Search Through Conversations
by: Zou, Jie, et al.
Published: (2025)

A Survey on Recent Advances in Conversational Data Generation
by: Soudani, Heydar, et al.
Published: (2024)

SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
by: Petcu, Roxana, et al.
Published: (2026)

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
by: Zou, Jie, et al.
Published: (2024)

Spectral Tempering for Embedding Compression in Dense Passage Retrieval
by: Li, Yongkang, et al.
Published: (2026)

Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)

DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
by: Lupart, Simon, et al.
Published: (2024)

ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)

ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions
by: Ye, Jingheng, et al.
Published: (2024)

Data Augmentation for Conversational AI
by: Soudani, Heydar, et al.
Published: (2023)

PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
by: Wu, Yutao, et al.
Published: (2025)

Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
by: Song, Huatong, et al.
Published: (2025)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
by: Zou, Jie, et al.
Published: (2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

A Survey on Retrieval-Augmented Text Generation for Large Language Models
by: Huang, Yizheng, et al.
Published: (2024)

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information
by: Huang, Youcheng, et al.
Published: (2025)

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
by: Qiu, Zhangchi, et al.
Published: (2023)

A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering
by: Sidiropoulos, Georgios, et al.
Published: (2024)

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
by: Hsu, Tz-Huan, et al.
Published: (2026)

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
by: Ren, Xiaobin, et al.
Published: (2025)

Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering
by: Ao, Xiao, et al.
Published: (2026)

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
by: Zeng, Hansi, et al.
Published: (2026)

ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight Budget
by: Thakur, Nandan, et al.
Published: (2026)

GRACE: Generative Representation Learning via Contrastive Policy Optimization
by: Sun, Jiashuo, et al.
Published: (2025)

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
by: Chi, Yizhou, et al.
Published: (2024)

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)

Dep-Search: Learning Dependency-Aware Reasoning Traces with Persistent Memory
by: Liu, Yanming, et al.
Published: (2026)

DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
by: Sun, Hao, et al.
Published: (2025)

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
by: Jin, Bowen, et al.
Published: (2025)

AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
by: Yang, Jianhui, et al.
Published: (2025)

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
by: Wang, Ziliang, et al.
Published: (2025)

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval
by: Li, Yongkang, et al.
Published: (2025)

JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
by: Nguyen, Minh-Anh, et al.
Published: (2025)

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
by: Jin, Bowen, et al.
Published: (2025)

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
by: Jiang, Pengcheng, et al.
Published: (2026)

Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
by: Huang, Yizheng, et al.
Published: (2024)

Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models
by: Luo, Yiming, et al.
Published: (2024)