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Exploring Social Media for Early Detection of Depression in COVID-19 Patients. (arXiv:2302.12044v1 [cs.CL]) 

Conversational Agents and Children: Let Children Learn. (arXiv:2302.12043v1 [cs.CL]) 

Natural Language Processing in the Legal Domain. (arXiv:2302.12039v1 [cs.CL]) 

Metric-oriented Speech Enhancement using Diffusion Probabilistic Model. (arXiv:2302.11989v1 [cs.SD]) 

Does Deep Learning Learn to Abstract? A Systematic Probing Framework. (arXiv:2302.11978v1 [cs.LG]) 

Sentence Simplification via Large Language Models. (arXiv:2302.11957v1 [cs.CL]) 

Improved Training of Mixture-of-Experts Language GANs. (arXiv:2302.11875v1 [cs.CL]) 

Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs. (arXiv:2302.11849v1 [cs.CL]) 

Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. (arXiv:2302.11812v1 [cs.CL]) 

FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering. (arXiv:2302.11799v1 [cs.CL]) 

Empathetic Response Generation via Emotion Cause Transition Graph. (arXiv:2302.11787v1 [cs.CL]) 

MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. (arXiv:2302.11766v1 [cs.CL]) 

VLSP 2022 -- EVJVQA Challenge: Multilingual Visual Question Answering. (arXiv:2302.11752v1 [cs.CL]) 

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?. (arXiv:2302.11713v1 [cs.CV]) 

Lang2LTL: Translating Natural Language Commands to Temporal Robot Task Specification. (arXiv:2302.11649v1 [cs.RO]) 

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. (arXiv:2302.09715v2 [cs.CL] UPDATED) 

RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. (arXiv:2302.05965v2 [cs.CL] UPDATED) 

A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing. (arXiv:2302.02291v3 [cs.CL] UPDATED) 

CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior. (arXiv:2302.01935v2 [cs.CL] UPDATED) 

An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning. (arXiv:2302.00378v2 [cs.CL] UPDATED) 

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