Code Soliloquies for Accurate Calculations in Large Language Models. (arXiv:2309.12161v1 [cs.CL])
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media. (arXiv:2309.12137v1 [cs.CL])
How-to Guides for Specific Audiences: A Corpus and Initial Findings. (arXiv:2309.12117v1 [cs.CL])
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models. (arXiv:2309.12109v1 [cs.CL])
A Computational Analysis of Vagueness in Revisions of Instructional Texts. (arXiv:2309.12107v1 [cs.CL])
SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts. (arXiv:2309.12102v1 [cs.CL])
Accelerating Thematic Investment with Prompt Tuned Pretrained Language Models. (arXiv:2309.12075v1 [cs.CL])
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam. (arXiv:2309.12071v1 [cs.AI])
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision. (arXiv:2309.12056v1 [cs.AI])
AceGPT, Localizing Large Language Models in Arabic. (arXiv:2309.12053v1 [cs.CL])
CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation. (arXiv:2309.12030v1 [cs.CL])
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. (arXiv:2309.11998v1 [cs.CL])
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics. (arXiv:2309.11981v1 [cs.CL])
Stock Market Sentiment Classification and Backtesting via Fine-tuned BERT. (arXiv:2309.11979v1 [q-fin.CP])
Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. (arXiv:2309.11925v1 [cs.CL])
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework. (arXiv:2309.11911v1 [cs.CL])
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Speech Detection. (arXiv:2309.11896v1 [cs.CL])
Audio Contrastive based Fine-tuning. (arXiv:2309.11895v1 [cs.SD])
Is It Really Useful to Jointly Parse Constituency and Dependency Trees? A Revisit. (arXiv:2309.11888v1 [cs.CL])
Syntactic Variation Across the Grammar: Modelling a Complex Adaptive System. (arXiv:2309.11869v1 [cs.CL])
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