Oleg Rokhlenko

86 papers A* 13A 5B 5C 2Journal 30Unranked 29
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Multi-Agent Response Refinement in Conversational Systems.
LaCATODA@AAAI
Soyeong Jeong, Aparna Elangovan, Emine Yilmaz, Oleg Rokhlenko
2026 A* conf
Align to Structure: Aligning Large Language Models with Structural Information.
AAAI
Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang
2025 J jnl
ATLAS: Actor-Critic Task-Completion with Look-ahead Action Simulation.
CoRR
Jiali Cheng, Anjishnu Kumar, Roshan Lal, Rishi Rajasekaran, Hani Ramezani, Omar Zia Khan, Oleg Rokhlenko, Sunny Chiu-Webster, Gang Hua, Hadi Amiri
2025 J jnl
Adaptive Multi-Agent Response Refinement in Conversational Systems.
CoRR
Soyeong Jeong, Aparna Elangovan, Emine Yilmaz, Oleg Rokhlenko
2025 J jnl
Align to Structure: Aligning Large Language Models with Structural Information.
CoRR
Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang
2025 — conf
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching.
ACL (1)
Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2025 J jnl
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching.
CoRR
Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements.
ECIR (2)
Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements.
CoRR
Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data.
LREC/COLING
Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data.
CoRR
Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Identifying Shopping Intent in Product QA for Proactive Recommendations.
IRonGraphs
Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Identifying Shopping Intent in Product QA for Proactive Recommendations.
CoRR
Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation.
ECIR (4)
Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation.
CoRR
Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.
NAACL (Industry Track)
Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.
CoRR
Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi
2024 A* conf
Question Suggestion for Conversational Shopping Assistants Using Product Metadata.
SIGIR
Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Question Suggestion for Conversational Shopping Assistants Using Product Metadata.
CoRR
Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2023 — conf
Answering Unanswered Questions through Semantic Reformulations in Spoken QA.
ACL (industry)
Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
Answering Unanswered Questions through Semantic Reformulations in Spoken QA.
CoRR
Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023 — conf
Augmenting Graph Convolutional Networks with Textual Data for Recommendations.
ECIR (2)
Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein
2023 A conf
Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants.
INTERSPEECH
Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi
2023 A* conf
Disentangling User Conversations with Voice Assistants for Online Shopping.
SIGIR
Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko
2023 J jnl
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks.
CoRR
Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko
2023 A conf
External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems.
EACL
Tuan Manh Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, Oleg Rokhlenko
2023 — conf
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
ACL (1)
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 J jnl
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
CoRR
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 — conf
Follow-on Question Suggestion via Voice Hints for Voice Assistants.
EMNLP (Findings)
Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
Follow-on Question Suggestion via Voice Hints for Voice Assistants.
CoRR
Besnik Fetahu, Pedro Faustini, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi
2023 — conf
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search.
ACL (industry)
Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search.
CoRR
Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023 A conf
Generating Explainable Product Comparisons for Online Shopping.
WSDM
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2023 — conf
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization.
EMNLP (Industry Track)
Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization.
CoRR
Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi
2023 — conf
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition.
EMNLP (Findings)
Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition.
CoRR
Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks.
CoRR
Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 — conf
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2).
SemEval@ACL
Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi
2023 J jnl
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2).
CoRR
Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi
2023 A* conf
The 6th Workshop on e-eommerce and NLP (ECNLP 6).
KDD
Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi
2022 J jnl
Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance.
CoRR
Anna Gottardi, Osman Ipek, Giuseppe Castellucci, Shui Hu, Lavina Vaz, Yao Lu, Anju Khatri, Anjali Chadha, Desheng Zhang, Sattvik Sahai, Prerna Dwivedi, Hangjie Shi, Lucy Hu, Andy Huang, Luke Dai, Bofei Yang, Varun Somani, Pankaj Rajan, Ron Rezac, Michael Johnston, Savanna Stiff, Leslie Ball, David Carmel, Yang Liu, Dilek Hakkani-Tur, Oleg Rokhlenko, Kate Bland, Eugene Agichtein, Reza Ghanadan, Yoelle Maarek
2022 J jnl
CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation.
Inf. Retr. J.
Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
2022 A* conf
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting.
EMNLP
Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi
2022 A* conf
CycleNER: An Unsupervised Training Approach for Named Entity Recognition.
WWW
Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2022 — conf
Distilling Multilingual Transformers into CNNs for Scalable Intent Classification.
EMNLP (Industry Track)
Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi
2022 — conf
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition.
NAACL-HLT
Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi
2022 — conf
Fact Checking Machine Generated Text with Dependency Trees.
EMNLP (Industry Track)
Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko
2022 B conf
Generating and Validating Contextually Relevant Justifications for Conversational Recommendation.
CHIIR
Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein
2022 B conf
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition.
COLING
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko
2022 J jnl
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition.
CoRR
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko
2022 A* conf
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks.
KDD
Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2022 — conf
Reinforced Question Rewriting for Conversational Question Answering.
EMNLP (Industry Track)
Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2022 J jnl
Reinforced Question Rewriting for Conversational Question Answering.
CoRR
Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2022 — conf
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER).
SemEval@NAACL
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko
2022 — conf
What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison.
ECIR (2)
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2022 B conf
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings.
COLING
Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
2021 A* conf
Continual Learning for Named Entity Recognition.
AAAI
Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko
2021 — conf
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input.
NAACL-HLT
Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi
2021 A* conf
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries.
SIGIR
Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi
2021 — conf
Studying the Effectiveness of Conversational Search Refinement Through User Simulation.
ECIR (1)
Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
2021 A conf
VoiSeR: A New Benchmark for Voice-Based Search Refinement.
EACL
Simone Filice, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2021 — conf
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions.
NAACL-HLT
Sergey Volokhin, Joyce C. Ho, Oleg Rokhlenko, Eugene Agichtein
2020 — ed.
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020.
PrivateNLP@WSDM
Oluwaseyi Feyisetan, Sepideh Ghanavati, Oleg Rokhlenko, Patricia Thaine
2020 A* conf
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors.
SIGIR
Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko
2018 — conf
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper.
SCAI@EMNLP
Nut Limsopatham, Oleg Rokhlenko, David Carmel
2017 J jnl
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.
CoRR
Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan
2016 A* conf
Novelty based Ranking of Human Answers for Community Questions.
SIGIR
Adi Omari, David Carmel, Oleg Rokhlenko, Idan Szpektor
2016 A conf
When the Crowd is Not Enough: Improving User Experience with Social Media through Automatic Quality Analysis.
CSCW
Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Eugene Agichtein, Ido Guy
2015 A* conf
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design.
WWW
Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh
2014 J jnl
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design.
CoRR
Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh
2013 — conf
Engagement-based user attention distribution on web article pages.
HT
Oleg Rokhlenko, Nadav Golbandi, Ronny Lempel, Limor Leibovich
2013 — conf
Generating Synthetic Comparable Questions for News Articles.
ACL (1)
Oleg Rokhlenko, Idan Szpektor
2012 — conf
Churn prediction in new users of Yahoo! answers.
WWW (Companion Volume)
Gideon Dror, Dan Pelleg, Oleg Rokhlenko, Idan Szpektor
2009 — conf
Embedded self-adaptation to escape from local optima.
GEC Summit
Oleg Rokhlenko, Ydo Wexler
2009 A* conf
Resurrecting infeasible clock-gating functions.
DAC
Eli Arbel, Cindy Eisner, Oleg Rokhlenko
2009 B conf
SAT-based synthesis of clock gating functions using 3-valued abstraction.
FMCAD
Eli Arbel, Oleg Rokhlenko, Karen Yorav
2008 J jnl
Approximate labelled subtree homeomorphism.
J. Discrete Algorithms
Ron Y. Pinter, Oleg Rokhlenko, Dekel Tsur, Michal Ziv-Ukelson
2008 J jnl
Seeded Tree Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform.
Antoni Lozano, Ron Y. Pinter, Oleg Rokhlenko, Gabriel Valiente, Michal Ziv-Ukelson
2007 — —
Algorithms for labeled graph matching with applications to systems biology.
Oleg Rokhlenko
2007 J jnl
Constraint-based functional similarity of metabolic genes: going beyond network topology.
Bioinform.
Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter
2007 C conf
Seeded Tree Alignment and Planar Tanglegram Layout.
WABI
Antoni Lozano, Ron Y. Pinter, Oleg Rokhlenko, Gabriel Valiente, Michal Ziv-Ukelson
2007 J jnl
Similarities and differences of gene expression in yeast stress conditions.
Bioinform.
Oleg Rokhlenko, Ydo Wexler, Zohar Yakhini
2006 C conf
Flux-Based
WABI
Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter
2005 J jnl
Alignment of metabolic pathways.
Bioinform.
Ron Y. Pinter, Oleg Rokhlenko, Esti Yeger Lotem, Michal Ziv-Ukelson
2004 B conf
Approximate Labelled Subtree Homeomorphism.
CPM
Ron Y. Pinter, Oleg Rokhlenko, Dekel Tsur, Michal Ziv-Ukelson