Hemank Lamba

64 papers A* 9A 7B 6Misc 2Journal 23Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment.
EACL (Volume 1: Long Papers)
Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Fatima Zahra Moudakir, Deniz Nazar, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Keenan Samway, Dominik Stammbach, Anna Steinberg, David Tomás, Steven R. Wilson, Bowen Yi, Jessica H. Zhu, Arkaitz Zubiaga, Anders Søgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva
2025 B conf
CEHA: A Dataset of Conflict Events in the Horn of Africa.
COLING
Rui Bai, Di Lu, Shihao Ran, Elizabeth M. Olson, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes
2025 A* conf
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions.
EMNLP
Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025 J jnl
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions.
CoRR
Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025 — conf
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs.
ACL (Findings)
Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alejandro Jaimes
2025 J jnl
NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment.
CoRR
Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Rajarshi Ghosh, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Deniz Nazarova, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Dominik Stammbach, Anna Steinberg, David Tomás, Steven R. Wilson, Bowen Yi, Jessica H. Zhu, Arkaitz Zubiaga, Anders Søgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva
2025 J jnl
Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work.
CoRR
Anton Abilov, Ke Zhang, Hemank Lamba, Elizabeth M. Olson, Joel R. Tetreault, Alejandro Jaimes
2025 B conf
Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election.
COLING
Roberto Mondini, Neema Kotonya, Robert L. Logan IV, Elizabeth M. Olson, Angela Oduor Lungati, Daniel Duke Odongo, Tim Ombasa, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes
2024 J jnl
CEHA: A Dataset of Conflict Events in the Horn of Africa.
CoRR
Rui Bai, Di Lu, Shihao Ran, Elizabeth M. Olson, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alex Jaimes
2024 Misc conf
CFE2: Counterfactual Editing for Search Result Explanation.
ICTIR
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2024 A* conf
Dissecting users' needs for search result explanations.
CHI
Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
2024 J jnl
Dissecting users' needs for search result explanations.
CoRR
Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
2024 J jnl
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models.
CoRR
Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
2024 — conf
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid.
EMNLP (Findings)
Hemank Lamba, Anton Abilov, Ke Zhang, Elizabeth M. Olson, Henry Kudzanai Dambanemuya, João C. Bárcia, David Batista, Christina Wille, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes
2024 J jnl
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid.
CoRR
Hemank Lamba, Anton Abilov, Ke Zhang, Elizabeth M. Olson, Henry K. Dambanemuya, João C. Bárcia, David S. Batista, Christina Wille, Aoife Cahill, Joel R. Tetreault, Alex Jaimes
2024 J jnl
Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election.
CoRR
Roberto Mondini, Neema Kotonya, Robert L. Logan IV, Elizabeth M. Olson, Angela Oduor Lungati, Daniel Duke Odongo, Tim Ombasa, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes
2023 J jnl
Counterfactual Editing for Search Result Explanation.
CoRR
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2022 A* conf
"This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors.
ICSE
Hongbo Fang, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu
2022 J jnl
Co-WIN: Really Winning? Analysing Inequity in India's Vaccination Response.
CoRR
Tanvi Karandikar, Avinash Prabhu, Mehul Mathur, Megha Arora, Hemank Lamba, Ponnurangam Kumaraguru
2022 A conf
Effect of Popularity Shocks on User Behaviour.
ICWSM
Omkar Gurjar, Tanmay Bansal, Hitkul Jangra, Hemank Lamba, Ponnurangam Kumaraguru
2022 A conf
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org.
ICWSM
Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer
2022 J jnl
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org.
CoRR
Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer
2021 J jnl
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings.
CoRR
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
2021 J jnl
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings.
SIGKDD Explor.
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
2021 J jnl
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy.
Nat. Mach. Intell.
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
2020 A conf
Driving the Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks.
ICWSM
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Singh Juneja, Ponnurangam Kumaraguru
2020 J jnl
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions.
CoRR
Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
2020 — conf
Heard it through the Gitvine: an empirical study of tool diffusion across the npm ecosystem.
ESEC/SIGSOFT FSE
Hemank Lamba, Asher Trockman, Daniel Armanios, Christian Kästner, Heather Miller, Bogdan Vasilescu
2020 J jnl
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
CoRR
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
2020 — —
Modeling User Behavior on Socio-Technical Systems: Patterns and Anomalies.
Hemank Lamba
2020 A conf
Need for Tweet: How Open Source Developers Talk About Their GitHub Work on Twitter.
MSR
Hongbo Fang, Daniel Klug, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu
2020 A* conf
Provably Robust Node Classification via Low-Pass Message Passing.
ICDM
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
2020 A* conf
TellTail: Fast Scoring and Detection of Dense Subgraphs.
AAAI
Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos
2019 B conf
Characterizing and detecting livestreaming chatbots.
ASONAM
Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru
2019 J jnl
Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks.
CoRR
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru
2019 A conf
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback.
SDM
Hemank Lamba, Leman Akoglu
2019 A* conf
Modeling Dwell Time Engagement on Visual Multimedia.
KDD
Hemank Lamba, Neil Shah
2019 J jnl
WebHound: a data-driven intrusion detection from real-world web access logs.
Soft Comput.
Te-En Wei, Hahn-Ming Lee, Albert B. Jeng, Hemank Lamba, Christos Faloutsos
2018 — conf
Modeling Topical Information Diffusion over Microblog Networks.
COMPLEX NETWORKS (1)
Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik
2018 — conf
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies.
WWW (Companion Volume)
Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
2018 A* conf
xStream: Outlier Detection in Feature-Evolving Data Streams.
KDD
Emaad A. Manzoor, Hemank Lamba, Leman Akoglu
2017 A conf
From Camera to Deathbed: Understanding Dangerous Selfies on Social Media.
ICWSM
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
2017 J jnl
Item Recommendation with Evolving User Preferences and Experience.
CoRR
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
2017 — conf
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software.
IWSPA@CODASPY
Hemank Lamba, Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan, Jürgen Pfeffer
2017 J jnl
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection.
CoRR
Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
2017 A* conf
The Many Faces of Link Fraud.
ICDM
Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
2017 — conf
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.
ECML/PKDD (1)
Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer
2016 — conf
A model-based approach to anomaly detection in software architectures.
HotSoS
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Javier Cámara, David Garlan, Jürgen Pfeffer
2016 — conf
Incorporating Side Information in Tensor Completion.
WWW (Companion Volume)
Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales
2016 — conf
Man-O-Meter: Modeling and Assessing the Evolution of Language Usage of Individuals on Microblogs.
APWeb (1)
Kuntal Dey, Saroj Kaushik, Hemank Lamba, Seema Nagar
2016 — conf
Maximizing the Spread of Positive Influence by Deadline.
WWW (Companion Volume)
Hemank Lamba, Jürgen Pfeffer
2016 J jnl
Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths.
CoRR
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Ponnurangam Kumaraguru
2015 B conf
A Tempest in a Teacup? Analyzing Firestorms on Twitter.
ASONAM
Hemank Lamba, Momin M. Malik, Jürgen Pfeffer
2015 J jnl
A model-independent approach for efficient influence maximization in social networks.
Soc. Netw. Anal. Min.
Hemank Lamba, Ramasuri Narayanam
2015 — conf
Detecting insider threats in software systems using graph models of behavioral paths.
HotSoS
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Jürgen Pfeffer, David Garlan
2015 A* conf
Experience-Aware Item Recommendation in Evolving Review Communities.
ICDM
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
2014 A conf
A Shapley Value-based Approach to Determine Gatekeepers in Social Networks with Applications.
ECAI
Ramasuri Narayanam, Oskar Skibski, Hemank Lamba, Tomasz P. Michalak
2014 Misc conf
Discovering signature of social networks with application to community detection.
COMSNETS
Ramasuri Narayanam, Dinesh Garg, Hemank Lamba
2014 J jnl
SoLoMo analytics for telco Big Data monetization.
IBM J. Res. Dev.
H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar
2013 — conf
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing fake content on Twitter.
eCrime
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru
2013 — conf
A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks.
WISE (2)
Hemank Lamba, Ramasuri Narayanam
2013 — conf
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy.
WWW (Companion Volume)
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, Anupam Joshi
2012 B conf
Incremental subclass discriminant analysis: A case study in face recognition.
ICIP
Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh
2011 B conf
Face recognition for look-alikes: A preliminary study.
IJCB
Hemank Lamba, Ankit Sarkar, Mayank Vatsa, Richa Singh, Afzel Noore