Anton Korikov

According to our database, Anton Korikov authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval.

Junyoung Kim, Anton Korikov, Jiazhou Liang, Justin Cui, Yifan Simon Liu, Qianfeng Wen, Mark Zhao, Scott Sanner

CoRR, April, 2026

ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation.

Anton Korikov, Scott Sanner

CoRR, March, 2026

2025

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments.

Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner

CoRR, October, 2025

A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation.

Qianfeng Wen, Yifan Liu, Justin Cui, Joshua Zhang, Anton Korikov, George-Kirollos Saad, Scott Sanner

CoRR, October, 2025

Tutorial on Recommendation with Generative Models (Gen-RecSys).

Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Batched Self-Consistency Improves LLM Relevance Assessment and Ranking.

Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation.

Qianfeng Wen, Yifan Liu, Joshua Zhang, George Saad, Anton Korikov, Yury Sambale, Scott Sanner

CoRR, 2024

Recommendation with Generative Models.

Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci

CoRR, 2024

Multi-modal Generative Models in Recommendation System.

Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci

CoRR, 2024

Large Language Model Driven Recommendation.

Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci

CoRR, 2024

Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking.

Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation.

David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).

Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion.

Anton Korikov, George Saad, Ethan Baron, Mustafa Khan, Manav Shah, Scott Sanner

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2023

Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval.

Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval.

Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner

Proceedings of the Advances in Information Retrieval, 2023

Objective-Based Counterfactual Explanations for Linear Discrete Optimization.

Anton Korikov, J. Christopher Beck

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2021

Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR.

Anton Korikov, Alexander Shleyfman, J. Christopher Beck

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Counterfactual Explanations via Inverse Constraint Programming.

Anton Korikov, J. Christopher Beck

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021