:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dey, Abhishek, Bothera, Aabha, Sarikonda, Samhita, Aryan, Rishav, Podishetty, Sanjay Kumar, Havalgi, Akshay, Singh, Gaurav, Srivastava, Saurabh
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.10836
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification
by: Rachuri, Ravi Datta, et al.
Published: (2024)

Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines
by: Srivastava, Saurabh, et al.
Published: (2025)

Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
by: Dey, Abhishek, et al.
Published: (2025)

Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
by: Srivastava, Saurabh, et al.
Published: (2025)

Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction
by: Srivastava, Saurabh, et al.
Published: (2025)

Towards Efficient Exemplar Based Image Editing with Multimodal VLMs
by: Jadhav, Avadhoot, et al.
Published: (2025)

Grounding Partially-Defined Events in Multimodal Data
by: Sanders, Kate, et al.
Published: (2024)

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
by: Srivastava, Siddharth, et al.
Published: (2025)

RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains
by: Wang, Yi Ru, et al.
Published: (2026)

LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments
by: Aryan, Prakash
Published: (2024)

Can LLMs interpret figurative language as humans do?: surface-level vs representational similarity
by: Bollepally, Samhita, et al.
Published: (2026)

Some variation of COBRA in sequential learning setup
by: Bhambu, Aryan, et al.
Published: (2024)

Are VLMs Really Blind
by: Singh, Ayush, et al.
Published: (2024)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
by: Liu, Zhiwei, et al.
Published: (2025)

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)

Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
by: Srivastava, Saurabh, et al.
Published: (2023)

Can They Dixit? Yes they Can! Dixit as a Playground for Multimodal Language Model Capabilities
by: Balepur, Nishant, et al.
Published: (2025)

FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection
by: Bhaskar, Paramananda, et al.
Published: (2026)

AI Based Font Pair Suggestion Modelling For Graphic Design
by: Singh, Aryan, et al.
Published: (2025)

Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
by: Bojic, Ljubisa, et al.
Published: (2025)

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
by: Lu, Meng, et al.
Published: (2025)

BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMs
by: Baranwal, Aaditya, et al.
Published: (2026)

Recursive Think-Answer Process for LLMs and VLMs
by: Lee, Byung-Kwan, et al.
Published: (2026)

On VLMs for Diverse Tasks in Multimodal Meme Classification
by: Gavit, Deepesh, et al.
Published: (2025)

Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image Classification
by: Gore, Aakash, et al.
Published: (2025)

Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
by: Singh, Joykirat, et al.
Published: (2024)

Benchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI
by: Singh, Saurabh K., et al.
Published: (2026)

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays
by: Singh, Gaurav
Published: (2025)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews
by: Spangher, Alexander, et al.
Published: (2024)

Software-Defined Agentic Serving
by: Agarwal, Saurabh, et al.
Published: (2026)

Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
by: Singh, Gaurav, et al.
Published: (2024)

Rethinking VLMs and LLMs for Image Classification
by: Cooper, Avi, et al.
Published: (2024)

Joint Optimization of Qubit Leasing and Quantum Circuit Distribution
by: Dey, Anoushka, et al.
Published: (2026)

Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
by: Singh, Aryan Kumar, et al.
Published: (2025)

RephraseTTS: Dynamic Length Text based Speech Insertion with Speaker Style Transfer
by: Matiyali, Neeraj, et al.
Published: (2025)

Text Style Transfer with Machine Translation for Graphic Designs
by: Budhauria, Deergh Singh, et al.
Published: (2026)

Spelling Correction in Healthcare Query-Answer Systems: Methods, Retrieval Impact, and Empirical Evaluation
by: Singh, Saurabh K
Published: (2026)

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
by: Stoianov, Dmitrii, et al.
Published: (2025)

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
by: Carbune, Victor, et al.
Published: (2024)