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Exploring zero-shot capability of large language models in inferences from medical oncology notes. (arXiv:2308.03853v2 [cs.CL] UPDATED) 

CIDER: Context sensitive sentiment analysis for short-form text. (arXiv:2307.07864v2 [cs.CL] UPDATED) 

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. (arXiv:2307.03135v3 [cs.CV] UPDATED) 

Questioning the Survey Responses of Large Language Models. (arXiv:2306.07951v2 [cs.CL] UPDATED) 

An Efficient Multilingual Language Model Compression through Vocabulary Trimming. (arXiv:2305.15020v2 [cs.CL] UPDATED) 

Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. (arXiv:2305.14259v3 [cs.CL] UPDATED) 

Evaluating Factual Consistency of Summaries with Large Language Models. (arXiv:2305.14069v2 [cs.CL] UPDATED) 

SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. (arXiv:2305.09656v3 [cs.CL] UPDATED) 

Measuring Social Dimensions of Self-Presentation in Social Media Biographies with an Identity-based Approach. (arXiv:2305.09548v2 [cs.CL] UPDATED) 

Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. (arXiv:2305.07375v4 [cs.CL] UPDATED) 

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. (arXiv:2304.11657v2 [cs.CL] UPDATED) 

LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models. (arXiv:2304.00457v3 [cs.CL] UPDATED) 

Analyzing And Editing Inner Mechanisms Of Backdoored Language Models. (arXiv:2302.12461v2 [cs.LG] UPDATED) 

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?. (arXiv:2302.11713v4 [cs.CV] UPDATED) 

Speculative Decoding with Big Little Decoder. (arXiv:2302.07863v4 [cs.CL] UPDATED) 

On the Security Vulnerabilities of Text-to-SQL Models. (arXiv:2211.15363v3 [cs.CL] UPDATED) 

mGPT: Few-Shot Learners Go Multilingual. (arXiv:2204.07580v2 [cs.CL] UPDATED) 

Defending Our Privacy With Backdoors. (arXiv:2310.08320v1 [cs.LG]) 

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. (arXiv:2310.08309v1 [cs.CL]) 

MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. (arXiv:2310.08298v1 [cs.CL]) 

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