Cover Image

Streamlining Industrial Contract Management with Retrieval-Augmented LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Topollai, Kristi, Dimlioglu, Tolga, Choromanska, Anna, Odie, Simon, Hui, Reginald
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Worker Disagreement Reveals Sharp Directions in Local SGD
by: Dimlioglu, Tolga, et al.
Published: (2026)

Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
by: Dimlioglu, Tolga, et al.
Published: (2025)

Outer-Momentum Restarting in High-Dimensional Two-Phase Optimization
by: Topollai, Kristi, et al.
Published: (2026)

GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
by: Dimlioglu, Tolga, et al.
Published: (2024)

OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction
by: Hemadri, Raghu Vamshi, et al.
Published: (2025)

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
by: Topollai, Kristi, et al.
Published: (2025)

Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization
by: Topollai, Kristi, et al.
Published: (2025)

Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
by: Topollai, Kristi, et al.
Published: (2026)

Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
by: Zhu, Haoran, et al.
Published: (2025)

Streamlining Biomedical Research with Specialized LLMs
by: Chen, Linqing, et al.
Published: (2025)

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024)

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
by: Chen, Qizhou, et al.
Published: (2024)

Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
by: Li, Liz, et al.
Published: (2026)

LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
by: Chen, Yen-Shan, et al.
Published: (2024)

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024)

Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
by: Zhang, Xiaobin, et al.
Published: (2024)

Context Shapes LLMs Retrieval-Augmented Fact-Checking Effectiveness
by: Bernardelle, Pietro, et al.
Published: (2026)

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
by: Bourdin, Mathieu, et al.
Published: (2025)

Clustered Retrieved Augmented Generation (CRAG)
by: Akesson, Simon, et al.
Published: (2024)

CRAB: A Benchmark for Evaluating Curation of Retrieval-Augmented LLMs in Biomedicine
by: Zhong, Hanmeng, et al.
Published: (2025)

EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
by: Niu, Miaohe, et al.
Published: (2026)

Towards Automated Smart Contract Generation: Evaluation, Benchmarking, and Retrieval-Augmented Repair
by: Chen, Zaoyu, et al.
Published: (2025)

SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
by: Song, Jiwon, et al.
Published: (2024)

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation
by: Hayashi, Kazuki, et al.
Published: (2025)

RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
by: Lin, Jingru, et al.
Published: (2025)

Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation
by: Tsuchida, Rikuto, et al.
Published: (2025)

Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
by: Liu, Yepeng, et al.
Published: (2025)

PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs
by: Huang, Tianyi, et al.
Published: (2026)

Coarse-to-Fine Personalized LLM Impressions for Streamlined Radiology Reports
by: Sun, Chengbo, et al.
Published: (2025)

Large Language Model for Extracting Complex Contract Information in Industrial Scenes
by: Cao, Yunyang, et al.
Published: (2025)

ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation
by: Octadion, One, et al.
Published: (2025)

From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs
by: He, Jie, et al.
Published: (2025)

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
by: Xia, Sirui, et al.
Published: (2024)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
by: Wu, Xuyang, et al.
Published: (2024)

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
by: Zhang, Taolin, et al.
Published: (2024)

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
by: An, Zhiyu, et al.
Published: (2024)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
by: Li, Hanqing, et al.
Published: (2025)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
by: Jiang, Ziyan, et al.
Published: (2024)