11 citations · 14 across the 9 of their papers we have counts for
9 papers
Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency Constraints
Liqiang Jing, Xiong Zhou, Siddharth Varia +3
While Large Vision-Language Models (LVLMs) exhibit strong perceptual capabilities, they remain vulnerable in visual reasoning tasks. Existing benchmarks largely focus on symbolic m…
Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi +3
Large language models (LLMs) are increasingly deployed in decision-making tasks, where not only accuracy but also reliable confidence estimates are essential. Well-calibrated confi…
Exploration of Plan-Guided Summarization for Narrative Texts: the Case of Small Language Models
Matt Grenander, Siddharth Varia, Paula Czarnowska +3
Plan-guided summarization attempts to reduce hallucinations in small language models (SLMs) by grounding generated summaries to the source text, typically by targeting fine-grained…
A Multi-Modal Multilingual Benchmark for Document Image Classification
Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran +3
Document image classification is different from plain-text document classification and consists of classifying a document by understanding the content and structure of documents su…
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Robert Vacareanu, Siddharth Varia, Kishaloy Halder +5
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline a…
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
Siddharth Varia, Shuai Wang, Kishaloy Halder +7
Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term,…
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi +4
The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence. The Fact Extra…
Detecting Gang-Involved Escalation on Social Media Using Context
Serina Chang, Ruiqi Zhong, Ethan Adams +6
Gang-involved youth in cities such as Chicago have increasingly turned to social media to post about their experiences and intents online. In some situations, when they experience…
Multimodal Social Media Analysis for Gang Violence Prevention
Philipp Blandfort, Desmond Patton, William R. Frey +9
Gang violence is a severe issue in major cities across the U.S. and recent studies [Patton et al. 2017] have found evidence of social media communications that can be linked to suc…