CipherSniffer: Classifying Cipher Types. (arXiv:2306.08116v1 [cs.CL])
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. (arXiv:2306.08107v1 [cs.LG])
FLamE: Few-shot Learning from Natural Language Explanations. (arXiv:2306.08042v1 [cs.CL])
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts. (arXiv:2306.08020v1 [cs.CL])
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. (arXiv:2306.08018v1 [q-bio.QM])
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])
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. (arXiv:2306.06815v1 [cs.CR] CROSS LISTED)
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. (arXiv:2306.06918v2 [cs.CL] UPDATED)
Mind2Web: Towards a Generalist Agent for the Web. (arXiv:2306.06070v2 [cs.CL] UPDATED)
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. (arXiv:2306.05783v2 [cs.CL] UPDATED)
COVER: A Heuristic Greedy Adversarial Attack on Prompt-based Learning in Language Models. (arXiv:2306.05659v2 [cs.CL] UPDATED)
KIT's Multilingual Speech Translation System for IWSLT 2023. (arXiv:2306.05320v2 [cs.CL] UPDATED)
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. (arXiv:2306.04757v3 [cs.CL] UPDATED)
Zambezi Voice: A Multilingual Speech Corpus for Zambian Languages. (arXiv:2306.04428v2 [cs.CL] UPDATED)
ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems. (arXiv:2306.04357v3 [cs.CL] UPDATED)
MidMed: Towards Mixed-Type Dialogues for Medical Consultation. (arXiv:2306.02923v2 [cs.CL] UPDATED)
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning. (arXiv:2306.01584v2 [cs.CL] UPDATED)
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