conftrace_

semantic accuracy

11 papers

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Co-occurring keywords · papers mentioning both

large language model (4) data-to-text generation (2) text generation (2) natural language generation (2) speaking-style captioning (1) style prediction (1) multi-agent system (1) template-based generation (1) trainable ranking model (1) neural generator (1)

Papers

Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding EACL 2026 Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale AAAI 2026 Grammar-Constrained Decoding Makes Large Language Models Better Logical Parsers ACL 2025 SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration AAAI 2025 Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation ACL 2024 Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames IJCAI 2024 Factor-Conditioned Speaking-Style Captioning Interspeech 2024 GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models NAACL 2024 Semantic Accuracy in Natural Language Generation: A Thesis Proposal ACL 2023 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021 How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue EMNLP 2020