Cover Image

Large Language Models Acing Chartered Accountancy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gupta, Jatin, Sharma, Akhil, Singhania, Saransh, Adnan, Mohammad, Deo, Sakshi, Abidi, Ali Imam, Gupta, Keshav
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)

Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context
by: Gupta, Jatin, et al.
Published: (2025)

SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation
by: Agrawal, Saransh, et al.
Published: (2025)

Inductive Linguistic Reasoning with Large Language Models
by: Ramji, Raghav, et al.
Published: (2024)

Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
by: Kumbhakern, Aarush, et al.
Published: (2025)

Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
by: Anand, Avinash, et al.
Published: (2024)

ACECODER: Acing Coder RL via Automated Test-Case Synthesis
by: Zeng, Huaye, et al.
Published: (2025)

Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
by: Gupta, Ayushman, et al.
Published: (2024)

Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities
by: Gupta, Ayushman, et al.
Published: (2024)

Building FKG.in: a Knowledge Graph for Indian Food
by: Gupta, Saransh Kumar, et al.
Published: (2024)

Modeling Understanding of Story-Based Analogies Using Large Language Models
by: Inani, Kalit, et al.
Published: (2025)

Pruning as a Defense: Reducing Memorization in Large Language Models
by: Gupta, Mansi, et al.
Published: (2025)

IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
by: Mullick, Ankan, et al.
Published: (2025)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
by: Luo, Zhimeng, et al.
Published: (2025)

Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)

Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)

Enhancing FKG.in: automating Indian food composition analysis
by: Gupta, Saransh Kumar, et al.
Published: (2024)

Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses
by: Gupta, Gaurav Kumar, et al.
Published: (2024)

Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
by: Potamitis, Nearchos, et al.
Published: (2025)

Probing the Limits of Stylistic Alignment in Vision-Language Models
by: Farajidizaji, Asma, et al.
Published: (2025)

ArXiv-to-Model: A Practical Study of Scientific LM Training
by: Gupta, Anuj
Published: (2026)

Evaluating Large Language Models on Rare Disease Diagnosis: A Case Study using House M.D
by: Gupta, Arsh, et al.
Published: (2025)

Anomaly Detection in Human Language via Meta-Learning: A Few-Shot Approach
by: Singla, Saurav, et al.
Published: (2025)

PersianMind: A Cross-Lingual Persian-English Large Language Model
by: Rostami, Pedram, et al.
Published: (2024)

Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models
by: Gupta, Kartik
Published: (2025)

Systematic Evaluation of Long-Context LLMs on Financial Concepts
by: Gupta, Lavanya, et al.
Published: (2024)

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)

Extending FKG.in: Towards a Food Claim Traceability Network
by: Gupta, Saransh Kumar, et al.
Published: (2025)

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
by: Sood, Palak, et al.
Published: (2024)

Large Language Models for Time Series: A Survey
by: Zhang, Xiyuan, et al.
Published: (2024)

Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
by: Hengle, Amey, et al.
Published: (2024)

Identifying Multiple Personalities in Large Language Models with External Evaluation
by: Song, Xiaoyang, et al.
Published: (2024)

VAL-Bench: Belief Consistency as a measure for Value Alignment in Language Models
by: Gupta, Aman, et al.
Published: (2025)

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
by: Gupta, Vatsal, et al.
Published: (2023)

DeAL: Decoding-time Alignment for Large Language Models
by: Huang, James Y., et al.
Published: (2024)

KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
by: Anand, Avinash, et al.
Published: (2024)

Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
by: Mondal, Soumen Kumar, et al.
Published: (2025)

Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages
by: Sharma, Swati, et al.
Published: (2026)

CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models
by: Lakkapragada, Venkat Akhil
Published: (2026)

Leveraging In-Context Learning for Language Model Agents
by: Gupta, Shivanshu, et al.
Published: (2025)