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M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. (arXiv:2306.05179v2 [cs.CL] UPDATED) 

Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. (arXiv:2305.14016v2 [cs.CL] UPDATED) 

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. (arXiv:2305.13971v5 [cs.CL] UPDATED) 

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. (arXiv:2305.02317v2 [cs.CL] UPDATED) 

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. (arXiv:2305.01219v6 [cs.CL] UPDATED) 

Conceptual structure coheres in human cognition but not in large language models. (arXiv:2304.02754v2 [cs.AI] UPDATED) 

E2E Spoken Entity Extraction for Virtual Agents. (arXiv:2302.10186v7 [eess.AS] UPDATED) 

Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization. (arXiv:2206.05658v2 [cs.CL] UPDATED) 

A Cognitive Architecture for Machine Consciousness and Artificial Superintelligence: Thought Is Structured by the Iterative Updating of Working Memory. (arXiv:2203.17255v4 [q-bio.NC] UPDATED) 

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. (arXiv:2311.06243v1 [cs.LG]) 

Argumentation Element Annotation Modeling using XLNet. (arXiv:2311.06239v1 [cs.CL]) 

Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild. (arXiv:2311.06237v1 [cs.CL]) 

Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models. (arXiv:2311.06233v1 [cs.CL]) 

A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words?. (arXiv:2311.06221v1 [cs.CL]) 

MultiIoT: Towards Large-scale Multisensory Learning for the Internet of Things. (arXiv:2311.06217v1 [cs.LG]) 

BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset. (arXiv:2311.06204v1 [cs.CL]) 

Syntax-semantics interface: an algebraic model. (arXiv:2311.06189v1 [cs.CL]) 

Language Models can be Logical Solvers. (arXiv:2311.06158v1 [cs.CL]) 

Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling. (arXiv:2311.06121v1 [cs.CL]) 

Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking. (arXiv:2311.06102v1 [cs.CL]) 

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