Image de couverture de livre

Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pandit, Tejul, Raval, Meet, Upadhyay, Dhvani
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM is Not All You Need: A Systematic Evaluation of ML vs. Foundation Models for text and image based Medical Classification
par: Raval, Meet, et autres
Publié: (2026)

The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
par: Pandit, Tejul, et autres
Publié: (2025)

Venn Diagram Prompting : Accelerating Comprehension with Scaffolding Effect
par: Mahendru, Sakshi, et autres
Publié: (2024)

Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary Sentences
par: Wang, Teng, et autres
Publié: (2022)

SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection
par: Mahendru, Sakshi, et autres
Publié: (2024)

PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational Dynamics
par: Vashistha, Sachin, et autres
Publié: (2025)

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
par: Zheng, Lianmin, et autres
Publié: (2023)

Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
par: Wu, Yihao, et autres
Publié: (2025)

Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
par: Alushi, Klejda, et autres
Publié: (2026)

Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks
par: Tsunokake, Masaya, et autres
Publié: (2026)

The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
par: Arif, Samee, et autres
Publié: (2024)

ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA
par: Chebolu, Siva Uday Sampreeth, et autres
Publié: (2024)

MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs
par: Sirdeshmukh, Ved, et autres
Publié: (2025)

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
par: Zhao, Wenting, et autres
Publié: (2024)

TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios
par: Wei, Shaohang, et autres
Publié: (2025)

Human-1 by Josh Talks: A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations
par: Singh, Bhaskar, et autres
Publié: (2026)

Evaluation Ethics of LLMs in Legal Domain
par: Zhang, Ruizhe, et autres
Publié: (2024)

Evaluating LLMs on Real-World Forecasting Against Expert Forecasters
par: Lu, Janna
Publié: (2025)

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
par: Emery, Deanna, et autres
Publié: (2025)

RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
par: Bian, Haonan, et autres
Publié: (2026)

Evaluating Large Language Models for Real-World Engineering Tasks
par: Heesch, Rene, et autres
Publié: (2025)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
par: Liang, Lei, et autres
Publié: (2024)

Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
par: Kaplan, Burak Can, et autres
Publié: (2025)

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
par: Zhao, Jingqian, et autres
Publié: (2025)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
par: Choi, Juhwan, et autres
Publié: (2024)

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
par: Hu, Mengkang, et autres
Publié: (2025)

CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World Cases
par: Xue, Xiaona, et autres
Publié: (2026)

PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
par: Shi, Yuzhen, et autres
Publié: (2026)

Evaluating the World Model Implicit in a Generative Model
par: Vafa, Keyon, et autres
Publié: (2024)

A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
par: Tan, Andong, et autres
Publié: (2026)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
par: Yang, Shuo, et autres
Publié: (2025)

ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
par: Qian, Cheng, et autres
Publié: (2025)

Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
par: Klievtsova, Nataliia, et autres
Publié: (2023)

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
par: Paiola, Pedro Henrique, et autres
Publié: (2024)

ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
par: Li, Xiaozhe, et autres
Publié: (2025)

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems
par: Katsis, Yannis, et autres
Publié: (2025)

Can LLMs Generate High-Quality Task-Specific Conversations?
par: Li, Shengqi, et autres
Publié: (2025)

From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test
par: Dai, Xunlian, et autres
Publié: (2025)

Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases
par: Li, Dubai, et autres
Publié: (2026)

Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation
par: Liu, Geng, et autres
Publié: (2026)