Copertina

Explainable Statute Prediction via Attention-based Model and LLM Prompting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pawar, Sachin, Palshikar, Girish Keshav, Banerjee, Anindita Sinha, Ramrakhiyani, Nitin, Ali, Basit
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DRAssist: Dispute Resolution Assistance using Large Language Models
di: Pawar, Sachin, et al.
Pubblicazione: (2025)

Broken Words, Broken Performance: Effect of Tokenization on Performance of LLMs
di: Pawar, Sachin, et al.
Pubblicazione: (2025)

Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge
di: Singh, Rituraj, et al.
Pubblicazione: (2025)

LegalMALR:Multi-Agent Query Understanding and LLM-Based Reranking for Chinese Statute Retrieval
di: Li, Yunhan, et al.
Pubblicazione: (2026)

ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laypeople
di: Paul, Shounak, et al.
Pubblicazione: (2026)

Cyberbullying Detection via Aggression-Enhanced Prompting
di: Saeid, Aisha, et al.
Pubblicazione: (2025)

AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
di: Siska, Charlotte, et al.
Pubblicazione: (2025)

Attention Instruction: Amplifying Attention in the Middle via Prompting
di: Zhang, Meiru, et al.
Pubblicazione: (2024)

Are Large Language Models Good Essay Graders?
di: Kundu, Anindita, et al.
Pubblicazione: (2024)

CPJ: Explainable Agricultural Pest Diagnosis via Caption-Prompt-Judge with LLM-Judged Refinement
di: Zhang, Wentao, et al.
Pubblicazione: (2025)

Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
di: Wei, Hui, et al.
Pubblicazione: (2024)

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
di: Sinha, Aarush
Pubblicazione: (2025)

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals
di: Su, Weihang, et al.
Pubblicazione: (2024)

IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
di: Paul, Shounak, et al.
Pubblicazione: (2025)

The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts
di: Haijima, Wakana, et al.
Pubblicazione: (2024)

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

From Raw Corpora to Domain Benchmarks: Automated Evaluation of LLM Domain Expertise
di: Sharma, Nitin, et al.
Pubblicazione: (2025)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
di: Wang, Meiyun, et al.
Pubblicazione: (2024)

ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling
di: Hamad, Omama, et al.
Pubblicazione: (2024)

Detecting Token-Level Hallucinations Using Variance Signals: A Reference-Free Approach
di: Kumar, Keshav
Pubblicazione: (2025)

Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports
di: Bhattacharya, Anindita, et al.
Pubblicazione: (2025)

PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics
di: Larionov, Daniil, et al.
Pubblicazione: (2024)

Explainable Rule Application via Structured Prompting: A Neural-Symbolic Approach
di: Sadowski, Albert, et al.
Pubblicazione: (2025)

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
di: Ji, Yatai, et al.
Pubblicazione: (2024)

Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
di: Liu, Yuanye, et al.
Pubblicazione: (2025)

Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
di: Das, Anindya Sundar, et al.
Pubblicazione: (2025)

Not What, But How: A Communicative Audit of LLM Response Framing
di: Pawar, Siddhesh Milind, et al.
Pubblicazione: (2026)

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
di: Li, Chengzhengxu, et al.
Pubblicazione: (2024)

The Effect of Model Size on LLM Post-hoc Explainability via LIME
di: Heyen, Henning, et al.
Pubblicazione: (2024)

A Lightweight Explainable Guardrail for Prompt Safety
di: Islam, Md Asiful, et al.
Pubblicazione: (2026)

Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters
di: Loya, Manikanta, et al.
Pubblicazione: (2023)

Towards Explainability in Legal Outcome Prediction Models
di: Valvoda, Josef, et al.
Pubblicazione: (2024)

Augmenting Bias Detection in LLMs Using Topological Data Analysis
di: Varadarajan, Keshav, et al.
Pubblicazione: (2025)

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)
di: Daruwalla, Sharookh, et al.
Pubblicazione: (2026)

Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models
di: Sanwal, Manish
Pubblicazione: (2025)

RelayAttention for Efficient Large Language Model Serving with Long System Prompts
di: Zhu, Lei, et al.
Pubblicazione: (2024)

Overriding Safety protections of Open-source Models
di: Kumar, Sachin
Pubblicazione: (2024)

QA-prompting: Improving Summarization with Large Language Models using Question-Answering
di: Sinha, Neelabh
Pubblicazione: (2025)

FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
di: Raiyan, Syed Rifat, et al.
Pubblicazione: (2025)

Prompt Attack Detection with LLM-as-a-Judge and Mixture-of-Models
di: Le, Hieu Xuan, et al.
Pubblicazione: (2026)