Avishek Anand

Orcid: 0000-0002-0163-0739

According to our database1, Avishek Anand authored at least 102 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions.
CoRR, 2024

RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models.
CoRR, 2024

Temporal Blind Spots in Large Language Models.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Proceedings of the Advances in Information Retrieval, 2024

2023
Report on the 21st Dutch-Belgian Information Retrieval Workshop (DIR 2023).
SIGIR Forum, December, 2023

Extractive Explanations for Interpretable Text Ranking.
ACM Trans. Inf. Syst., October, 2023

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

An in-depth analysis of passage-level label transfer for contextual document ranking.
Inf. Retr. J., June, 2023

Data Augmentation for Sample Efficient and Robust Document Ranking.
CoRR, 2023

Efficient Neural Ranking using Forward Indexes and Lightweight Encoders.
CoRR, 2023

In-Context Ability Transfer for Question Decomposition in Complex QA.
CoRR, 2023

DINE: Dimensional Interpretability of Node Embeddings.
CoRR, 2023

Context Aware Query Rewriting for Text Rankers using LLM.
CoRR, 2023

Query Understanding in the Age of Large Language Models.
CoRR, 2023

The Effect of Masking Strategies on Knowledge Retention by Language Models.
CoRR, 2023

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

A Deep Reinforcement Learning Approach to Configuration Sampling Problem.
Proceedings of the IEEE International Conference on Data Mining, 2023

Explainability of Text Processing and Retrieval Methods.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Probing BERT for Ranking Abilities.
Proceedings of the Advances in Information Retrieval, 2023

Listwise Explanations for Ranking Models Using Multiple Explainers.
Proceedings of the Advances in Information Retrieval, 2023

2022
Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval.
CoRR, 2022

Explainable Information Retrieval: A Survey.
CoRR, 2022

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations.
CoRR, 2022

Efficient Neural Ranking using Forward Indexes.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

BERT Rankers are Brittle: A Study using Adversarial Document Perturbations.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Supervised Contrastive Learning Approach for Contextual Ranking.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Answer Quality Aware Aggregation for Extractive QA Crowdsourcing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Question Answering for the Curated Web: Tasks and Methods in QA over Knowledge Bases and Text Collections
Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers, ISBN: 978-3-031-79512-1, 2021

A Comparative Study for Unsupervised Network Representation Learning.
IEEE Trans. Knowl. Data Eng., 2021

Fast Forward Indexes for Efficient Document Ranking.
CoRR, 2021

Learnt Sparsification for Interpretable Graph Neural Networks.
CoRR, 2021

Learnt Sparsity for Effective and Interpretable Document Ranking.
CoRR, 2021

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.
CoRR, 2021

Towards Benchmarking the Utility of Explanations for Model Debugging.
CoRR, 2021

Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings.
CoRR, 2021

Explain and Predict, and then Predict Again.
Proceedings of the WSDM '21, 2021

L3S at the TREC 2021 Deep Learning Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Exploiting Sentence-Level Representations for Passage Ranking.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Towards Axiomatic Explanations for Neural Ranking Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Dagstuhl seminar 19461 on conversational search: seminar goals and working group outcomes.
SIGIR Forum, 2020

Characterization and classification of semantic image-text relations.
Int. J. Multim. Inf. Retr., 2020

Conversational Search - A Report from Dagstuhl Seminar 19461.
CoRR, 2020

Valid Explanations for Learning to Rank Models.
CoRR, 2020

Boilerplate Removal using a Neural Sequence Labeling Model.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Question Answering over Curated and Open Web Sources.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Model agnostic interpretability of rankers via intent modelling.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Distant Supervision in BERT-based Adhoc Document Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

BERTnesia: Investigating the capture and forgetting of knowledge in BERT.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019
Dissonance Between Human and Machine Understanding.
Proc. ACM Hum. Comput. Interact., 2019

Conversational Search (Dagstuhl Seminar 19461).
Dagstuhl Reports, 2019

A Comprehensive Comparison of Unsupervised Network Representation Learning Methods.
CoRR, 2019

Estimating PageRank deviations in crawled graphs.
Appl. Netw. Sci., 2019

A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs.
Algorithmica, 2019

TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables.
Proceedings of the World Wide Web Conference, 2019

EXS: Explainable Search Using Local Model Agnostic Interpretability.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Asynchronous Training of Word Embeddings for Large Text Corpora.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A study on the Interpretability of Neural Retrieval Models using DeepSHAP.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Node Representation Learning for Directed Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Understanding, Categorizing and Predicting Semantic Image-Text Relations.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Clarifying False Memories in Voice-based Search.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

2018
Interpreting search result rankings through intent modeling.
CoRR, 2018

Posthoc Interpretability of Learning to Rank Models using Secondary Training Data.
CoRR, 2018

User Fairness in Recommender Systems.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Toward Voice Query Clarification.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Effects of Algorithmic Decision-Making and Interpretability on Human Behavior: Experiments using Crowdsourcing.
Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2018

Delusive PageRank in Incomplete Graphs.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Modeling Event Importance for Ranking Daily News Events.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Exploring Web Archives Through Temporal Anchor Texts.
Proceedings of the 2017 ACM on Web Science Conference, 2017

BioNex: A System For Biomedical News Event Exploration.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Fine Grained Citation Span for References in Wikipedia.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Designing Search Tasks for Archive Search.
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

2016
Tempas: Temporal Archive Search Based on Tags.
Proceedings of the 25th International Conference on World Wide Web, 2016

The Knowledge Awakens: Keeping Knowledge Bases Fresh with Emerging Entities.
Proceedings of the 25th International Conference on World Wide Web, 2016

Exploring the past of the web: alexandria & archive-it hackathon.
Proceedings of the 8th ACM Conference on Web Science, 2016

Expedition: A Time-Aware Exploratory Search System Designed for Scholars.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Temporal Information Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

On the Applicability of Delicious for Temporal Search on Web Archives.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

L3S at the NTCIR-12 Temporal Information Access (Temporalia-2) Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

The Dawn of Today's Popular Domains: A Study of the Archived German Web over 18 Years.
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation.
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

Discovering Entities with Just a Little Help from You.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Finding News Citations for Wikipedia.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

History by Diversity: Helping Historians search News Archives.
Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

2015
Exploring Long Running News Stories using Wikipedia.
Proceedings of the ACM Web Science Conference, 2015

How much is Wikipedia Lagging Behind News?
Proceedings of the ACM Web Science Conference, 2015

The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Automated News Suggestions for Populating Wikipedia Entity Pages.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Phrase Query Optimization on Inverted Indexes.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Indexing methods for web archives.
PhD thesis, 2013

FERRARI: Flexible and efficient reachability range assignment for graph indexing.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
High-Performance Reachability Query Processing under Index Size Restrictions
CoRR, 2012

Index maintenance for time-travel text search.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Temporal index sharding for space-time efficiency in archive search.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
Efficient temporal keyword search over versioned text.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
EverLast: a distributed architecture for preserving the web.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009


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