A. Anand

A. Anand

Dr.

  • 19 Conference contribution
  • 7 Article
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  • 2024

    Causal Probing for Dual Encoders

    Wallat, J., Hinrichs, H. & Anand, A., 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2292-2303 12 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

    Venktesh, V., Anand, A., Anand, A. & Setty, V., 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 650-660 11 p. (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    130 Downloads (Pure)

  • Temporal Blind Spots in Large Language Models

    Wallat, J., Jatowt, A. & Anand, A., 2024, WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. New York: Association for Computing Machinery (ACM), p. 683-692 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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    2 Downloads (Pure)

  • The Surprising Effectiveness of Rankers Trained on Expanded Queries

    Anand, A., V, V., Setty, V. & Anand, A., 2024, SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery (ACM), p. 2652-2656 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Understanding the User: An Intent-Based Ranking Dataset

    Anand, A., Leonhardt, J., V., V. & Anand, A., 2024, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery (ACM), p. 5323-5327 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    1 Downloads (Pure)
  • 2023

    A Deep Reinforcement Learning Approach to Configuration Sampling Problem

    Abolfazli, A., Spiegelberg, J., Anand, A. & Palmer, G., 2023, Proceedings of the 2023 IEEE International Conference on Data Mining (ICDM). O’Conner, L. (ed.). Piscataway: IEEE, 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    3 Downloads (Pure)

  • Explainable Information Retrieval

    Anand, A., Sen, P., Saha, S., Verma, M. & Mitra, M., 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 3448-3451 4 p. (SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    1 Citation (Scopus)
    153 Downloads (Pure)

  • Listwise Explanations for Ranking Models Using Multiple Explainers

    Lyu, L. & Anand, A., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Cham: Springer, p. 653-668 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13980 ).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    3 Citations (Scopus)
    78 Downloads (Pure)

  • Probing BERT for Ranking Abilities

    Wallat, J., Beringer, F., Anand, A. & Anand, A., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Cham: Springer, p. 255-273 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13981).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    4 Citations (Scopus)
    77 Downloads (Pure)
  • 2022

    Answer Quality Aware Aggregation for Extractive QA Crowdsourcing

    Zhu, P., Wang, Z., Yang, J., Hauff, C. & Anand, A., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics (ACL), p. 6147-6159 13 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    13 Downloads (Pure)

  • BERT Rankers are Brittle: A Study using Adversarial Document Perturbations

    Wang, Y., Lyu, L. & Anand, A., 2022, ICTIR 2022 - Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery (ACM), p. 115-120 6 p. (ICTIR 2022 - Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    7 Citations (Scopus)
    25 Downloads (Pure)

  • Efficient Neural Ranking using Forward Indexes

    Leonhardt, J., Rudra, K., Khosla, M., Anand, A. & Anand, A., 2022, Proceedings of the ACM Web Conference 2022.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems

    Erlei, A., Das, R., Meub, L., Anand, A. & Gadiraju, U., 2022, CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery (ACM), 18 p. 113. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    13 Citations (Scopus)
    146 Downloads (Pure)

  • SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals

    Zhang, Z., Setty, V. & Anand, A., 2022, SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 3219-3223 5 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    3 Citations (Scopus)
    42 Downloads (Pure)

  • Supervised Contrastive Learning Approach for Contextual Ranking

    Anand, A., Leonhardt, J., Rudra, K. & Anand, A., 2022, ICTIR 2022 - Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery (ACM), p. 61-71 11 p. (ICTIR 2022 - Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    2 Citations (Scopus)
    24 Downloads (Pure)
  • 2020

    Boilerplate removal using a neural sequence labeling model

    Leonhardt, J., Anand, A. & Khosla, M., 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. p. 226-229 4 p. (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    12 Citations (Scopus)

  • Node Representation Learning for Directed Graphs

    Khosla, M., Leonhardt, J., Nejdl, W. & Anand, A., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Vol. 11906. p. 395-411 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    27 Citations (Scopus)
  • 2018

    Delusive pagerank in incomplete graphs

    Holzmann, H., Anand, A. & Khosla, M., 2018, International Conference on Complex Networks and their Applications.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • User Fairness in Recommender Systems

    Leonhardt, J., Anand, A. & Khosla, M., 2018, Companion Proceedings of the The Web Conference 2018.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review