Copertina

Adaptive Multi-Stage Patent Claim Generation with Unified Quality Assessment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Chen-Wei, Guo, Bin, Wei, Zhen-Yuan, Wang, Mu-Jiang-Shan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence 68T50, 68T05 I.2.7; H.3.3; I.2.11
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
di: Laddha, Shubh, et al.
Pubblicazione: (2025)

ARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper Generation
di: Wang, Zi, et al.
Pubblicazione: (2025)

MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional
di: Cruz, Roberto, et al.
Pubblicazione: (2026)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
di: Jia, Xiao
Pubblicazione: (2026)

SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
di: Akay, Yagiz Can, et al.
Pubblicazione: (2026)

ART: Adaptive Response Tuning Framework -- A Multi-Agent Tournament-Based Approach to LLM Response Optimization
di: Khan, Omer Jauhar
Pubblicazione: (2025)

The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
di: Repantis, Vyzantinos, et al.
Pubblicazione: (2026)

Supporting software engineering tasks with agentic AI: Demonstration on document retrieval and test scenario generation
di: Kica, Marian, et al.
Pubblicazione: (2026)

Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis
di: Xi, Wang, et al.
Pubblicazione: (2025)

Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI Models
di: Velampalli, Sirisha, et al.
Pubblicazione: (2025)

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
di: Da, Longchao, et al.
Pubblicazione: (2025)

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
di: Berman, Shmuel, et al.
Pubblicazione: (2024)

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions
di: Alpay, Faruk, et al.
Pubblicazione: (2025)

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents
di: Huo, Dongjie, et al.
Pubblicazione: (2026)

Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents
di: Tomkou, Despina, et al.
Pubblicazione: (2025)

A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing
di: Nourmohammadi, Naeimeh, et al.
Pubblicazione: (2026)

SocialX: A Modular Platform for Multi-Source Big Data Research in Indonesia
di: Saputra, Muhammad Apriandito Arya, et al.
Pubblicazione: (2026)

Multi-Agent Object Detection Framework Based on Raspberry Pi YOLO Detector and Slack-Ollama Natural Language Interface
di: Kalušev, Vladimir, et al.
Pubblicazione: (2026)

DPDisc: From Factoid Questions to Data Product Requests for Open-World Data Product Discovery over Tables and Text
di: Zhang, Liangliang, et al.
Pubblicazione: (2025)

BMAM: Brain-inspired Multi-Agent Memory Framework
di: Li, Yang, et al.
Pubblicazione: (2026)

Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
di: Amamou, Hazem, et al.
Pubblicazione: (2026)

Geist in the Machine: Simulating Recognition and Inner Dialogue in AI-Mediated Teaching and Research
di: Magee, Liam
Pubblicazione: (2026)

AI Agents-as-Judge: Automated Assessment of Accuracy, Consistency, Completeness and Clarity for Enterprise Documents
di: Dasgupta, Sudip, et al.
Pubblicazione: (2025)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
di: Gupta, Aayush
Pubblicazione: (2025)

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics
di: Peyronnet, Antoine, et al.
Pubblicazione: (2026)

Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
di: Li, Zonghang, et al.
Pubblicazione: (2025)

CHORUS: An Agentic Framework for Generating Realistic Deliberation Data
di: Koursaris, A., et al.
Pubblicazione: (2026)

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
di: Calonge, David Santandreu, et al.
Pubblicazione: (2025)

EdgeJury: Cross-Reviewed Small-Model Ensembles for Truthful Question Answering on Serverless Edge Inference
di: Kumar, Aayush
Pubblicazione: (2025)

A Case Study of Balanced Query Recommendation on Wikipedia
di: Mishra, Harshit, et al.
Pubblicazione: (2025)

ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Context
di: Nguyen, Andy, et al.
Pubblicazione: (2026)

MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific-Source Retrieval
di: Bakagianni, Juli, et al.
Pubblicazione: (2026)

IndoBERT-Sentiment: Context-Conditioned Sentiment Classification for Indonesian Text
di: Saputra, Muhammad Apriandito Arya, et al.
Pubblicazione: (2026)

IndoBERT-Relevancy: A Context-Conditioned Relevancy Classifier for Indonesian Text
di: Saputra, Muhammad Apriandito Arya, et al.
Pubblicazione: (2026)

Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation
di: Basarkar, Aditya, et al.
Pubblicazione: (2026)

Understanding Multi-Agent LLM Frameworks: A Unified Benchmark and Experimental Analysis
di: Orogat, Abdelghny, et al.
Pubblicazione: (2026)

Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding
di: Aljafari, Mohammed, et al.
Pubblicazione: (2025)

MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation
di: Qi, Dekang, et al.
Pubblicazione: (2026)

CLAP: Coreference-Linked Augmentation for Passage Retrieval
di: Xu, Huanwei, et al.
Pubblicazione: (2025)

Combating data scarcity in recommendation services: Integrating cognitive types of VARK and neural network technologies (LLM)
di: Zmanovskii, Nikita
Pubblicazione: (2026)