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NLLP - 2024
Total Papers:- 34
Total Papers accross all years:- 86
Total Citations :- 0
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LeGen: Complex Information Extraction from Legal sentences using Generative Models
Chaitra C R |
Sankalp Kulkarni |
Sai Rama Akash Varma Sagi |
Shashank Pandey |
Rohit Yalavarthy |
Dipanjan Chakraborty |
Prajna Devi Upadhyay |
Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence
Ram Mohan Rao Kadiyala |
Siddartha Pullakhandam |
Kanwal Mehreen |
Subhasya Tippareddy |
Ashay Srivastava |
Transductive Legal Judgment Prediction Combining BERT Embeddings with Delaunay-Based GNNs
Hugo Attali |
Nadi Tomeh |
Comparative Study of Explainability Methods for Legal Outcome Prediction
Ieva Staliunaite |
Josef Valvoda |
Ken Satoh |
Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction
Alice Kwak |
Clayton Morrison |
Derek Bambauer |
Mihai Surdeanu |
Summarizing Long Regulatory Documents with a Multi-Step Pipeline
Mika Sie |
Ruby Beek |
Michiel Bots |
Sjaak Brinkkemper |
Albert Gatt |
uOttawa at LegalLens-2024: Transformer-based Classification Experiments
Nima Meghdadi |
Diana Inkpen |
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution
Shikha Bordia |
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
Shubham Kumar Nigam |
Aniket Deroy |
Subhankar Maity |
Arnab Bhattacharya |
Measuring the Groundedness of Legal Question-Answering Systems
Dietrich Trautmann |
Natalia Ostapuk |
Quentin Grail |
Adrian Pol |
Guglielmo Bonifazi |
Shang Gao |
Martin Gajek |
Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition
Nguyen Tan Minh |
Duy Ngoc Mai |
Le Xuan Bach |
Nguyen Huu Dung |
Pham Cong Minh |
Ha Thanh Nguyen |
Thi Hai Yen Vuong |
Cross Examine: An Ensemble-based approach to leverage Large Language Models for Legal Text Analytics
Saurav Chowdhury |
Suyog Joshi |
Lipika Dey |
Semantists at LegalLens-2024: Data-efficient Training of LLM’s for Legal Violation Identification
Kanagasabai Rajaraman |
Hariram Veeramani |
Enhancing Contract Negotiations with LLM-Based Legal Document Comparison
Savinay Narendra |
Kaushal Shetty |
Adwait Ratnaparkhi |
Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations
Abe Hou |
William Jurayj |
Nils Holzenberger |
Andrew Blair-Stanek |
Benjamin Van Durme |
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