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20232026
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cs.CL2026

PragAlign: Feedback-Guided Pragmatic Alignment for Controlled Synthetic Dialogue Generation

Smitha Muthya Sudheendra, Jaideep Srivastava

Synthetic dialogue generation can support research in privacy-restricted service settings, but generated conversations must preserve communicative intent, affective meaning, and na…

cs.CL2026

When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models

Smitha Muthya Sudheendra, Jaideep Srivastava

Large language models can look capable of logical reasoning, but correct or incorrect answers alone tell us little about what the model represents internally. We study logical veri…

cs.CL2026

BiMind: A Dual-Head Reasoning Model with Attention-Geometry Adapter for Incorrect Information Detection

Zhongxing Zhang, Emily K. Vraga, Jisu Huh +1

Incorrect information poses significant challenges by disrupting content veracity and integrity, yet most detection approaches struggle to jointly balance textual content verificat…

cs.CL2026

ReasonScaffold: A Scaffolded Reasoning-based Annotation Protocol for Human-AI Co-Annotation

Smitha Muthya Sudheendra, Jaideep Srivastava

Human annotation is central to NLP evaluation, yet subjective tasks often exhibit substantial variability across annotators. While large language models (LLMs) can provide structur…

cs.CL2025

CMV-Fuse: Cross Modal-View Fusion of AMR, Syntax, and Knowledge Representations for Aspect Based Sentiment Analysis

Smitha Muthya Sudheendra, Mani Deep Cherukuri, Jaideep Srivastava

Natural language understanding inherently depends on integrating multiple complementary perspectives spanning from surface syntax to deep semantics and world knowledge. However, cu…

cs.CL2023

Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models

Debarati Das, Ishaan Gupta, Jaideep Srivastava +1

Our research integrates graph data with Large Language Models (LLMs), which, despite their advancements in various fields using large text corpora, face limitations in encoding ent…