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Using Large Language Models for Qualitative Analysis can Introduce Serious Bias. (arXiv:2309.17147v2 [cs.CL] UPDATED) 

NLPBench: Evaluating Large Language Models on Solving NLP Problems. (arXiv:2309.15630v2 [cs.CL] UPDATED) 

AnglE-optimized Text Embeddings. (arXiv:2309.12871v2 [cs.CL] UPDATED) 

Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics. (arXiv:2309.11981v3 [cs.CL] UPDATED) 

Bridging Emotion Role Labeling and Appraisal-based Emotion Analysis. (arXiv:2309.02092v2 [cs.CL] UPDATED) 

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. (arXiv:2308.00436v3 [cs.AI] UPDATED) 

A Comprehensive Overview of Large Language Models. (arXiv:2307.06435v4 [cs.CL] UPDATED) 

SqueezeLLM: Dense-and-Sparse Quantization. (arXiv:2306.07629v2 [cs.CL] UPDATED) 

Revisiting the Role of Language Priors in Vision-Language Models. (arXiv:2306.01879v2 [cs.CV] UPDATED) 

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. (arXiv:2305.17455v2 [cs.CV] UPDATED) 

Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions. (arXiv:2305.15070v3 [cs.CL] UPDATED) 

BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR. (arXiv:2305.13716v3 [cs.SD] UPDATED) 

Physics of Language Models: Part 1, Context-Free Grammar. (arXiv:2305.13673v2 [cs.CL] UPDATED) 

Explaining Emergent In-Context Learning as Kernel Regression. (arXiv:2305.12766v2 [cs.CL] UPDATED) 

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data. (arXiv:2304.08247v2 [cs.CL] UPDATED) 

Teaching Large Language Models to Self-Debug. (arXiv:2304.05128v2 [cs.CL] UPDATED) 

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. (arXiv:2303.14655v2 [cs.CV] UPDATED) 

Towards Inferential Reproducibility of Machine Learning Research. (arXiv:2302.04054v6 [cs.LG] UPDATED) 

Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. (arXiv:2301.09350v2 [cs.CL] UPDATED) 

Two-stage LLM Fine-tuning with Less Specialization and More Generalization. (arXiv:2211.00635v2 [cs.CL] UPDATED) 

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