| 2026 | ACL | It's High Time: A Survey of Temporal Question Answering. | Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Avishek Anand, Adam Jatowt |
| 2026 | EACL | Test-time Corpus Feedback: From Retrieval to RAG. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2026 | ECIR | The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking. | Julia Maria Stru, Sebastian Schellhammer, Stefan Dietze, Venktesh V., Vinay Setty, Tanmoy Chakraborty, Preslav Nakov, Avishek Anand, Primakov Chungkham, Salim Hafid, Dhruv Sahnan, Konstantin Todorov |
| 2026 | WWW | Temporal Information Retrieval And Question Answering in the Age of LLMs. | Bhawna Piryani, Avishek Anand, Adam Jatowt |
| 2026 | SIGIR | Second Workshop on Explainability in Information Retrieval. | Catherine Chen, Maria Heuss, Tanya Chowdhury, James Allan, Avishek Anand, Carsten Eickhoff, Suzan Verberne |
| 2026 | SIGIR | Temporal Information Retrieval and Extraction: From Foundations to RAG. | Bhawna Piryani, Avishek Anand, Omar Alonso, Adam Jatowt |
| 2026 | SIGIR | Reproducing Adaptive Reranking for Reasoning-Intensive IR. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2026 | SIGIR | When More Reformulations Hurt: Avoiding Drift using Ranker Feedback. | Venktesh V, Mandeep Rathee, Avishek Anand |
| 2026 | WSDM | TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions. | Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt |
| 2026 | WSDM | On Listwise Reranking for Corpus Feedback. | Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand, Seung-won Hwang |
| 2025 | ACL | A Study into Investigating Temporal Robustness of LLMs. | Jonas Wallat, Abdelrahman Abdallah, Adam Jatowt, Avishek Anand |
| 2025 | CIKM | Recommender Systems for Sustainable Development through Responsible Nudging. | Mehrdad Rostami, Alexander Felfernig, Wolfgang Wrndl, Mourad Oussalah, Avishek Anand, Mahdi Jalili, Ashmi Banerjee |
| 2025 | ECIR | Explainable Information Retrieval. | Avishek Anand, Sourav Saha, Venktesh V |
| 2025 | ECIR | FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. | Kevin Nanhekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand |
| 2025 | ECIR | Guiding Retrieval Using LLM-Based Listwise Rankers. | Mandeep Rathee, Sean MacAvaney, Avishek Anand |
| 2025 | EMNLP | Think Right, Not More: Test-Time Scaling for Numerical Claim Verification. | Primakov Chungkham, Venktesh V, Vinay Setty, Avishek Anand |
| 2025 | ICML | Sample Efficient Demonstration Selection for In-Context Learning. | Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand |
| 2025 | ICTIR | Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. | Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand |
| 2025 | ICTIR | Correctness is not Faithfulness in Retrieval Augmented Generation Attributions. | Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand |
| 2025 | NAACL | SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA. | Venktesh V, Mandeep Rathee, Avishek Anand |
| 2025 | SIGIR | ir_explain: A Python Library of Explainable IR Methods. | Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra |
| 2025 | SIGIR | Workshop on Explainability in Information Retrieval. | Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff, Suzan Verberne |
| 2025 | SIGIR | RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. | Maria Heuss, Maarten de Rijke, Avishek Anand |
| 2025 | SIGIR | Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2025 | WSDM | Quam: Adaptive Retrieval through Query Affinity Modelling. | Mandeep Rathee, Sean MacAvaney, Avishek Anand |
| 2024 | CIKM | Understanding the User: An Intent-Based Ranking Dataset. | Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand |
| 2024 | CIKM | Causal Probing for Dual Encoders. | Jonas Wallat, Hauke Hinrichs, Avishek Anand |
| 2024 | ECIR | Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? | Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand |
| 2024 | EMNLP | EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. | Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand |
| 2024 | ICML | Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. | Harrie Oosterhuis, Lijun Lyu, Avishek Anand |
| 2024 | SIGIR | The Surprising Effectiveness of Rankers trained on Expanded Queries. | Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand |
| 2024 | SIGIR | QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims. | Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty |
| 2024 | WSDM | Temporal Blind Spots in Large Language Models. | Jonas Wallat, Adam Jatowt, Avishek Anand |
| 2023 | ECIR | Listwise Explanations for Ranking Models Using Multiple Explainers. | Lijun Lyu, Avishek Anand |
| 2023 | ECIR | Probing BERT for Ranking Abilities. | Jonas Wallat, Fabian Beringer, Abhijit Anand, Avishek Anand |
| 2023 | ICDM | A Deep Reinforcement Learning Approach to Configuration Sampling Problem. | Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand |
| 2023 | SIGIR | Explainable Information Retrieval. | Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra |
| 2022 | CHI | For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems. | Alexander Erlei, Richeek Das, Lukas Meub, Avishek Anand, Ujwal Gadiraju |
| 2022 | EMNLP | Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. | Peide Zhu, Zhen Wang, Claudia Hauff, Jie Yang, Avishek Anand |
| 2022 | ICTIR | Supervised Contrastive Learning Approach for Contextual Ranking. | Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand |
| 2022 | ICTIR | BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. | Yumeng Wang, Lijun Lyu, Avishek Anand |
| 2022 | WWW | Efficient Neural Ranking using Forward Indexes. | Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand |
| 2022 | SIGIR | SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. | Zijian Zhang, Vinay Setty, Avishek Anand |
| 2021 | CIKM | FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. | Zijian Zhang, Koustav Rudra, Avishek Anand |
| 2021 | ICTIR | Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models. | Jaspreet Singh, Megha Khosla, Zhenye Wang, Avishek Anand |
| 2021 | ICTIR | Towards Axiomatic Explanations for Neural Ranking Models. | Michael Vlske, Alexander Bondarenko, Maik Frbe, Benno Stein, Jaspreet Singh, Matthias Hagen, Avishek Anand |
| 2021 | WSDM | Explain and Predict, and then Predict Again. | Zijian Zhang, Koustav Rudra, Avishek Anand |
| 2020 | CIKM | Distant Supervision in BERT-based Adhoc Document Retrieval. | Koustav Rudra, Avishek Anand |
| 2020 | HCOMP | Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining. | Alexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju |
| 2020 | ICTIR | Question Answering over Curated and Open Web Sources. | Rishiraj Saha Roy, Avishek Anand |
| 2020 | WWW | Boilerplate Removal using a Neural Sequence Labeling Model. | Jurek Leonhardt, Avishek Anand, Megha Khosla |
| 2020 | SIGIR | Question Answering over Curated and Open Web Sources. | Rishiraj Saha Roy, Avishek Anand |
| 2019 | CHIIR | Clarifying False Memories in Voice-based Search. | Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, Matthias Hagen |
| 2019 | WWW | TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. | Besnik Fetahu, Avishek Anand, Maria Koutraki |
| 2019 | SIGIR | A study on the Interpretability of Neural Retrieval Models using DeepSHAP. | Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand |
| 2019 | WSDM | Asynchronous Training of Word Embeddings for Large Text Corpora. | Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang |
| 2019 | WSDM | EXS: Explainable Search Using Local Model Agnostic Interpretability. | Jaspreet Singh, Avishek Anand |
| 2018 | HCOMP | Effects of Algorithmic Decision-Making and Interpretability on Human Behavior: Experiments using Crowdsourcing. | Avishek Anand, Kilian Bizer, Alexander Erlei, Ujwal Gadiraju, Christian Heinze, Lukas Meub, Wolfgang Nejdl, Bjrn Steinrtter |
| 2018 | WWW | User Fairness in Recommender Systems. | Jurek Leonhardt, Avishek Anand, Megha Khosla |
| 2018 | SIGIR | Toward Voice Query Clarification. | Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, Matthias Hagen |
| 2017 | CHIIR | Designing Search Tasks for Archive Search. | Jaspreet Singh, Avishek Anand |
| 2017 | EMNLP | Fine Grained Citation Span for References in Wikipedia. | Besnik Fetahu, Katja Markert, Avishek Anand |
| 2017 | SIGIR | BioNex: A System For Biomedical News Event Exploration. | Patrick Ernst, Arunav Mishra, Avishek Anand, Vinay Setty |
| 2017 | WSDM | Modeling Event Importance for Ranking Daily News Events. | Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand |
| 2016 | CHIIR | History by Diversity: Helping Historians search News Archives. | Jaspreet Singh, Wolfgang Nejdl, Avishek Anand |
| 2016 | CIKM | Finding News Citations for Wikipedia. | Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand |
| 2016 | CIKM | Discovering Entities with Just a Little Help from You. | Jaspreet Singh, Johannes Hoffart, Avishek Anand |
| 2016 | WWW | The Knowledge Awakens: Keeping Knowledge Bases Fresh with Emerging Entities. | Johannes Hoffart, Dragan Milchevski, Gerhard Weikum, Avishek Anand, Jaspreet Singh |
| 2016 | WWW | Tempas: Temporal Archive Search Based on Tags. | Helge Holzmann, Avishek Anand |
| 2016 | SIGIR | On the Applicability of Delicious for Temporal Search on Web Archives. | Helge Holzmann, Wolfgang Nejdl, Avishek Anand |
| 2016 | SIGIR | Temporal Information Retrieval. | Nattiya Kanhabua, Avishek Anand |
| 2016 | SIGIR | Expedition: A Time-Aware Exploratory Search System Designed for Scholars. | Jaspreet Singh, Wolfgang Nejdl, Avishek Anand |
| 2015 | CIKM | Automated News Suggestions for Populating Wikipedia Entity Pages. | Besnik Fetahu, Katja Markert, Avishek Anand |
| 2015 | CIKM | Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. | Tuan Tran, Claudia Niedere, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand |
| 2015 | EDBT | The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search. | Evica Milchevski, Avishek Anand, Sebastian Michel |
| 2014 | CIKM | Phrase Query Optimization on Inverted Indexes. | Avishek Anand, Ida Mele, Srikanta J. Bedathur, Klaus Berberich |
| 2013 | ICDE | FERRARI: Flexible and efficient reachability range assignment for graph indexing. | Stephan Seufert, Avishek Anand, Srikanta J. Bedathur, Gerhard Weikum |
| 2012 | SIGIR | Index maintenance for time-travel text search. | Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel |
| 2011 | SIGIR | Temporal index sharding for space-time efficiency in archive search. | Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel |
| 2010 | CIKM | Efficient temporal keyword search over versioned text. | Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel |