2 citations · 6 across the 11 of their papers we have counts for
11 papers
How You Ask Matters! Adaptive RAG Robustness to Query Variations
Yunah Jang, Megha Sundriyal, Kyomin Jung +1
Adaptive Retrieval-Augmented Generation (RAG) promises accuracy and efficiency by dynamically triggering retrieval only when needed and is widely used in practice. However, real-wo…
The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Arghodeep Nandi, Megha Sundriyal, Euna Mehnaz Khan +4
Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to ev…
The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
Firoj Alam, Julia Maria Struß, Tanmoy Chakraborty +11
The CheckThat! lab aims to advance the development of innovative technologies designed to identify and counteract online disinformation and manipulation efforts across various lang…
Crowd Intelligence for Early Misinformation Prediction on Social Media
Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty +1
Misinformation spreads rapidly on social media, causing serious damage by influencing public opinion, promoting dangerous behavior, or eroding trust in reliable sources. It spreads…
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans
Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
A significant increase in content creation and information exchange has been made possible by the quick development of online social media platforms, which has been very advantageo…
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
Shubham Mittal, Megha Sundriyal, Preslav Nakov
Claim span identification (CSI) is an important step in fact-checking pipelines, aiming to identify text segments that contain a checkworthy claim or assertion in a social media po…
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
With the rise of social media, users are exposed to many misleading claims. However, the pervasive noise inherent in these posts presents a challenge in identifying precise and pro…
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking
Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
The expansion of online social media platforms has led to a surge in online content consumption. However, this has also paved the way for disseminating false claims and misinformat…
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter
Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya +2
The widespread diffusion of medical and political claims in the wake of COVID-19 has led to a voluminous rise in misinformation and fake news. The current vogue is to employ manual…
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
Megha Sundriyal, Parantak Singh, Md Shad Akhtar +2
The formulation of a claim rests at the core of argument mining. To demarcate between a claim and a non-claim is arduous for both humans and machines, owing to latent linguistic va…
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
Shreya Gupta, Parantak Singh, Megha Sundriyal +2
The conceptualization of a claim lies at the core of argument mining. The segregation of claims is complex, owing to the divergence in textual syntax and context across different d…