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20182026
most citedHarnessing Abstractive Summarization for Fact-Checked Claim Detection

5 citations · 6 across the 25 of their papers we have counts for

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cs.CL2026

Parameter-Efficient Quality Estimation via Frozen Recursive Models

Umar Abubacar, Roman Bauer, Diptesh Kanojia

Tiny Recursive Models (TRM) achieve strong results on reasoning tasks through iterative refinement of a shared network. We investigate whether these recursive mechanisms transfer t…

cs.CL2026

MUNIChus: Multilingual News Image Captioning Benchmark

Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4

The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…

cs.CL2026

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios

Namrata Patil Gurav, Akashdeep Ranu, Archchana Sindhujan +1

Quality Estimation (QE) is essential for assessing machine translation quality in reference-less settings, particularly for domain-specific and low-resource language scenarios. In…

cs.CL2026

Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation

Archchana Sindhujan, Girish A. Koushik, Shenbin Qian +2

Quality Estimation (QE) aims to assess the quality of machine translation (MT) outputs without relying on reference translations, making it essential for real-world, large-scale MT…

cs.CL2025

The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation

Girish A. Koushik, Fatemeh Nazarieh, Katherine Birch +2

Visual metaphor generation is a challenging task that aims to generate an image given an input text metaphor. Inherently, it needs language understanding to bind a source concept w…

cs.CL2025

Cyberbullying Detection via Aggression-Enhanced Prompting

Aisha Saeid, Anu Sabu, Girish A. Koushik +2

Detecting cyberbullying on social media remains a critical challenge due to its subtle and varied expressions. This study investigates whether integrating aggression detection as a…