1.2k citations · 1.2k across the 11 of their papers we have counts for
12 papers
Activating the Annotator: Operationalising Lived Experience in Data Annotation
Sheza Munir, Ramaravind Kommiya Mothilal, Syed Ishtiaque Ahmed
Perspectivist NLP has established that annotator positionality shapes labels for subjective tasks, but the field still lacks methods for operationalising it. Positionality is typic…
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement
Ramaravind Kommiya Mothilal, Terry Jingchen Zhang, Raiyan Ahmed +3
Evaluations of social bias in LLMs largely focus on whether models generate or imply biased content. However, as LLMs are increasingly used as judges of bias, they may exhibit soci…
Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCI
Ramaravind Kommiya Mothilal, Sally Zhang, Syed Ishtiaque Ahmed +1
Reasoning is a distinctive human-like characteristic attributed to LLMs in HCI due to their ability to simulate various human-level tasks. However, this work argues that the reason…
Argument-Based Consistency in Toxicity Explanations of LLMs
Ramaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed +1
The discourse around toxicity and LLMs in NLP largely revolves around detection tasks. This work shifts the focus to evaluating LLMs' reasoning about toxicity - from their explanat…
Talking About the Assumption in the Room
Ramaravind Kommiya Mothilal, Faisal M. Lalani, Syed Ishtiaque Ahmed +2
The reference to assumptions in how practitioners use or interact with machine learning (ML) systems is ubiquitous in HCI and responsible ML discourse. However, what remains unclea…
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal, Shion Guha, Syed Ishtiaque Ahmed
Though ML practitioners increasingly employ various Responsible ML (RML) strategies, their methodological approach in practice is still unclear. In particular, the constraints, ass…
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi
Devansh Mehta, Harshita Diddee, Ananya Saxena +8
The primary obstacle to developing technologies for low-resource languages is the lack of representative, usable data. In this paper, we report the deployment of technology-driven…
Database of Indian Social Media Influencers on Twitter
Arshia Arya, Soham De, Dibyendu Mishra +12
Databases of highly networked individuals have been indispensable in studying narratives and influence on social media. To support studies on Twitter in India, we present a systema…
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan +1
Feature attributions and counterfactual explanations are popular approaches to explain a ML model. The former assigns an importance score to each input feature, while the latter pr…
Indian Political Twitter and Caste Discrimination -- How Representation Does Not Equal Inclusion in Lok Sabha Networks
Palashi Vaghela, Ramaravind Kommiya Mothilal, Joyojeet Pal
Caste privilege persists in the form of upper caste "networks" in India made up of political, social, and economic relations that tend to actively exclude lower caste members. In t…
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal +7
The primary obstacle to developing technologies for low-resource languages is the lack of usable data. In this paper, we report the adoption and deployment of 4 technology-driven m…
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
Post-hoc explanations of machine learning models are crucial for people to understand and act on algorithmic predictions. An intriguing class of explanations is through counterfact…