A Novel Scheme to classify Read and Spontaneous Speech. (arXiv:2306.08012v1 [cs.SD])
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models. (arXiv:2306.08000v1 [physics.med-ph])
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer. (arXiv:2306.07994v1 [cs.CL])
Utilizing Social Media Attributes for Enhanced Keyword Detection: An IDF-LDA Model Applied to Sina Weibo. (arXiv:2306.07978v1 [cs.CL])
LTCR: Long-Text Chinese Rumor Detection Dataset. (arXiv:2306.07201v2 [cs.CL] UPDATED)
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding. (arXiv:2306.06819v2 [cs.CL] UPDATED)
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models. (arXiv:2306.06662v2 [cs.CL] UPDATED)
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS. (arXiv:2306.05083v2 [cs.CL] UPDATED)
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. (arXiv:2306.04551v2 [cs.CL] UPDATED)
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. (arXiv:2306.04528v2 [cs.CL] UPDATED)
PolyVoice: Language Models for Speech to Speech Translation. (arXiv:2306.02982v2 [cs.CL] UPDATED)
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. (arXiv:2306.02887v2 [cs.IR] UPDATED)
OWQ: Lessons learned from activation outliers for weight quantization in large language models. (arXiv:2306.02272v2 [cs.CL] UPDATED)
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. (arXiv:2305.19395v2 [cs.CL] UPDATED)
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning. (arXiv:2305.18169v2 [cs.CL] UPDATED)
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts. (arXiv:2305.14839v2 [cs.CL] UPDATED)
MultiModal-GPT: A Vision and Language Model for Dialogue with Humans. (arXiv:2305.04790v3 [cs.CV] UPDATED)
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. (arXiv:2305.02549v2 [cs.CL] UPDATED)
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. (arXiv:2304.14391v3 [cs.RO] UPDATED)
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark. (arXiv:2304.03279v4 [cs.LG] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
Inspired by https://twitter.com/arxiv_cscl