Saved in:
| Main Authors: | Gupta, Jatin, Sharma, Akhil, Singhania, Saransh, Abidi, Ali Imam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.22003 |
| 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)
by: Gupta, Jatin, et al.
Published: (2026)
Large Language Models Acing Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2025)
by: Gupta, Jatin, et al.
Published: (2025)
Building FKG.in: a Knowledge Graph for Indian Food
by: Gupta, Saransh Kumar, et al.
Published: (2024)
by: Gupta, Saransh Kumar, et al.
Published: (2024)
SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation
by: Agrawal, Saransh, et al.
Published: (2025)
by: Agrawal, Saransh, et al.
Published: (2025)
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models
by: Nguyen, Pha, et al.
Published: (2025)
by: Nguyen, Pha, et al.
Published: (2025)
Enhancing FKG.in: automating Indian food composition analysis
by: Gupta, Saransh Kumar, et al.
Published: (2024)
by: Gupta, Saransh Kumar, et al.
Published: (2024)
LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model
by: Jang, Youngjoon, et al.
Published: (2026)
by: Jang, Youngjoon, et al.
Published: (2026)
The Factuality of Large Language Models in the Legal Domain
by: Hamdani, Rajaa El, et al.
Published: (2024)
by: Hamdani, Rajaa El, et al.
Published: (2024)
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models
by: Huang, Jia-Hong, et al.
Published: (2024)
by: Huang, Jia-Hong, et al.
Published: (2024)
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
by: Briva-Iglesias, Vicent, et al.
Published: (2024)
by: Briva-Iglesias, Vicent, et al.
Published: (2024)
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
by: Kumbhakern, Aarush, et al.
Published: (2025)
by: Kumbhakern, Aarush, et al.
Published: (2025)
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
by: Mullick, Ankan, et al.
Published: (2025)
by: Mullick, Ankan, et al.
Published: (2025)
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)
by: Dahl, Matthew, et al.
Published: (2024)
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
by: Bashir, Ali Hamza, et al.
Published: (2026)
by: Bashir, Ali Hamza, et al.
Published: (2026)
Natural Language Processing in the Legal Domain
by: Hartung, Dirk, et al.
Published: (2023)
by: Hartung, Dirk, et al.
Published: (2023)
Long-Context Long-Form Question Answering for Legal Domain
by: Kulkarni, Anagha, et al.
Published: (2026)
by: Kulkarni, Anagha, et al.
Published: (2026)
Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
by: Wang, Xing, et al.
Published: (2025)
by: Wang, Xing, et al.
Published: (2025)
Temporal Preferences in Language Models for Long-Horizon Assistance
by: Mazyaki, Ali, et al.
Published: (2025)
by: Mazyaki, Ali, et al.
Published: (2025)
Legal Evalutions and Challenges of Large Language Models
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)
Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
by: Potamitis, Nearchos, et al.
Published: (2025)
by: Potamitis, Nearchos, et al.
Published: (2025)
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
by: Niklaus, Joel, et al.
Published: (2024)
by: Niklaus, Joel, et al.
Published: (2024)
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry
by: Acharya, Anurag, et al.
Published: (2024)
by: Acharya, Anurag, et al.
Published: (2024)
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
by: Joshi, Abhinav, et al.
Published: (2024)
by: Joshi, Abhinav, et al.
Published: (2024)
A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models
by: Zavarella, Vanni, et al.
Published: (2024)
by: Zavarella, Vanni, et al.
Published: (2024)
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
by: Tripathi, Yogesh, et al.
Published: (2024)
by: Tripathi, Yogesh, et al.
Published: (2024)
Evaluating the Role of Large Language Models in Legal Practice in India
by: Hemrajani, Rahul
Published: (2025)
by: Hemrajani, Rahul
Published: (2025)
Systematic Evaluation of Long-Context LLMs on Financial Concepts
by: Gupta, Lavanya, et al.
Published: (2024)
by: Gupta, Lavanya, et al.
Published: (2024)
Bridging Domain Knowledge and Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2024)
by: Norouzifar, Ali, et al.
Published: (2024)
Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
by: Gupta, Ayushman, et al.
Published: (2024)
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)
by: Gupta, Ayushman, et al.
Published: (2024)
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
by: Tanabe, Kota, et al.
Published: (2024)
by: Tanabe, Kota, et al.
Published: (2024)
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
by: Liu, Xiang, et al.
Published: (2025)
by: Liu, Xiang, 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)
by: Sharma, Swati, et al.
Published: (2026)
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
by: Modesitt, Eric, et al.
Published: (2024)
by: Modesitt, Eric, et al.
Published: (2024)
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
by: Kim, Yeeun, et al.
Published: (2024)
by: Kim, Yeeun, et al.
Published: (2024)
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification
by: Nigam, Shubham Kumar, et al.
Published: (2025)
by: Nigam, Shubham Kumar, et al.
Published: (2025)
Similar Items
-
Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026) -
Large Language Models Acing Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2025) -
Building FKG.in: a Knowledge Graph for Indian Food
by: Gupta, Saransh Kumar, et al.
Published: (2024) -
SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation
by: Agrawal, Saransh, et al.
Published: (2025) -
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
by: Wasi, Azmine Toushik, et al.
Published: (2024)