Egocentric Audio-Visual Noise Suppression. (arXiv:2211.03643v2 [cs.SD] UPDATED)
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. (arXiv:2210.14348v2 [cs.CL] UPDATED)
A Kernel-Based View of Language Model Fine-Tuning. (arXiv:2210.05643v3 [cs.LG] UPDATED)
How Far Are We from Real Synonym Substitution Attacks?. (arXiv:2210.02844v2 [cs.CL] UPDATED)
ContraCLM: Contrastive Learning For Causal Language Model. (arXiv:2210.01185v2 [cs.CL] UPDATED)
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. (arXiv:2205.15171v3 [cs.LG] UPDATED)
The Diminishing Returns of Masked Language Models to Science. (arXiv:2205.11342v2 [cs.CL] UPDATED)
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes. (arXiv:2205.05656v5 [cs.CL] UPDATED)
Text Adversarial Purification as Defense against Adversarial Attacks. (arXiv:2203.14207v2 [cs.CL] UPDATED)
Contrastive Learning of Sociopragmatic Meaning in Social Media. (arXiv:2203.07648v4 [cs.CL] UPDATED)
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation. (arXiv:2112.04539v2 [cs.CL] UPDATED)
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis. (arXiv:2107.00439v2 [cs.CL] UPDATED)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems. (arXiv:2106.01263v4 [cs.CL] UPDATED)
Characterizing Political Bias in Automatic Summaries: A Case Study of Trump and Biden. (arXiv:2305.02321v1 [cs.CL])
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. (arXiv:2305.02317v1 [cs.CL])
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. (arXiv:2305.02301v1 [cs.CL])
Evaluating the Efficacy of Length-Controllable Machine Translation. (arXiv:2305.02300v1 [cs.CL])
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections. (arXiv:2305.02291v1 [cs.DL])
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis. (arXiv:2305.02269v1 [cs.SD])
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text. (arXiv:2305.02265v1 [cs.CL])
All recent Computation and Language articles on arXiv.org for the Fediverse
Inspired by https://twitter.com/arxiv_cscl