:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gupta, Gaurav Kumar, Singh, Aditi, Manikandan, Sijo Valayakkad, Ehtesham, Abul
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.06712
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
by: Singh, Aditi, et al.
Published: (2024)

Architectural Flaw Detection in Civil Engineering Using GPT-4
by: Kumar, Saket, et al.
Published: (2024)

A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
by: Ehtesham, Abul, et al.
Published: (2025)

Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
by: Singh, Aditi, et al.
Published: (2024)

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
by: Singh, Aditi, et al.
Published: (2025)

Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
by: Ehtesham, Abul, et al.
Published: (2025)

A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
by: Singh, Aditi, et al.
Published: (2024)

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries
by: Ehtesham, Abul, et al.
Published: (2024)

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
by: Singh, Aditi, et al.
Published: (2024)

Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier
by: Ehtesham, Abul, et al.
Published: (2025)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context
by: Zahran, Noureldin, et al.
Published: (2025)

LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions
by: Gupta, Gaurav Kumar, et al.
Published: (2025)

Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
by: Qi, Yilin, et al.
Published: (2025)

Scope Ambiguities in Large Language Models
by: Kamath, Gaurav, et al.
Published: (2024)

Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
by: Civitarese, Gabriele, et al.
Published: (2024)

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
by: Rao, Jun, et al.
Published: (2024)

Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model
by: Singh, Aditi, et al.
Published: (2024)

Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
by: Godbole, Aditi, et al.
Published: (2024)

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
by: Mishra, Aditi, et al.
Published: (2023)

Language Models Largely Exhibit Human-like Constituent Ordering Preferences
by: Tur, Ada Defne, et al.
Published: (2025)

Using Large Language Models to Measure Symptom Severity in Patients At Risk for Schizophrenia
by: Chen, Andrew X., et al.
Published: (2025)

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
by: Zhu, Yakun, et al.
Published: (2025)

IndicEval: A Bilingual Indian Educational Evaluation Framework for Large Language Models
by: Bharti, Saurabh, et al.
Published: (2026)

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models
by: Gupta, Sonam, et al.
Published: (2024)

Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them in
by: Agarwal, Utkarsh, et al.
Published: (2024)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
by: Xu, Naen, et al.
Published: (2025)

Large Language Models Acing Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2025)

Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues Test
by: Khandelwal, Aditi, et al.
Published: (2024)

Comparisons between a Large Language Model-based Real-Time Compound Diagnostic Medical AI Interface and Physicians for Common Internal Medicine Cases using Simulated Patients
by: Park, Hyungjun, et al.
Published: (2025)

Can Large Language Models Solve Robot Routing?
by: Huang, Zhehui, et al.
Published: (2024)

Large Language Models aren't all that you need
by: Holla, Kiran Voderhobli, et al.
Published: (2024)

Decoding Poultry Vocalizations -- Natural Language Processing and Transformer Models for Semantic and Emotional Analysis
by: Manikandan, Venkatraman, et al.
Published: (2024)

Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
by: Lin, Yu-Chen, et al.
Published: (2025)

Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
by: Siam, Md Kamrul, et al.
Published: (2025)

Exploring the Potential of Large Language Models to Simulate Personality
by: Molchanova, Maria, et al.
Published: (2025)

Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)

Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study
by: So, Jae-hee, et al.
Published: (2024)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
by: Oh, Sejoon, et al.
Published: (2024)