Natural Language Processing

Better Synthetic Data by Retrieving and Transforming Existing Datasets ACL 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 BetterV: Controlled Verilog Generation with Discriminative Guidance ICML 2024 Better Zero-Shot Reasoning with Role-Play Prompting NAACL 2024 Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation ACL 2024 Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain ICLR 2024 Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals EMNLP 2024 Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions ACL 2024 Beyond Binary: Towards Embracing Complexities in Cyberbullying Detection and Intervention - a Position Paper COLING 2024 Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring COLING 2024 Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws ICML 2024 Beyond Code: Evaluate Thought Steps for Complex Code Generation COLING 2024 Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models EMNLP 2024 Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics EMNLP 2024 Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar Checkers COLING 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts NAACL 2024 Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data EMNLP 2024 Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment ICLR 2024 Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning EMNLP 2024 Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions ACL 2024 Beyond Memorization: The Challenge of Random Memory Access in Language Models ACL 2024 Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024 Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations EMNLP 2024 Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024