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Aligning Language Models with Preferences through f-divergence Minimization. (arXiv:2302.08215v1 [cs.CL]) 

Un mod{\`e}le de base de connaissances terminologiques. (arXiv:2302.08198v1 [cs.AI]) 

Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Large Language Model. (arXiv:2302.08150v1 [cs.CL]) 

Empirical Investigation of Neural Symbolic Reasoning Strategies. (arXiv:2302.08148v1 [cs.AI]) 

CluCDD:Contrastive Dialogue Disentanglement via Clustering. (arXiv:2302.08146v1 [cs.CL]) 

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?. (arXiv:2302.08143v1 [cs.CL]) 

Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition. (arXiv:2302.08102v1 [cs.CL]) 

PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement. (arXiv:2302.08095v1 [cs.SD]) 

Product Question Answering in E-Commerce: A Survey. (arXiv:2302.08092v1 [cs.CL]) 

Do We Still Need Clinical Language Models?. (arXiv:2302.08091v1 [cs.CL]) 

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement. (arXiv:2302.08088v1 [cs.CL]) 

Learning Multi-Object Positional Relationships via Emergent Communication. (arXiv:2302.08084v1 [cs.LG]) 

Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. (arXiv:2302.08081v1 [cs.CL]) 

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. (arXiv:2302.08079v1 [cs.CL]) 

LabelPrompt: Effective Prompt-based Learning for Relation Classification. (arXiv:2302.08068v1 [cs.CL]) 

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. (arXiv:2302.08043v1 [cs.LG]) 

\`A-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. (arXiv:2302.07994v1 [cs.LG]) 

Tree-Based Representation and Generation of Natural and Mathematical Language. (arXiv:2302.07974v1 [cs.CL]) 

Commonsense Reasoning for Conversational AI: A Survey of the State of the Art. (arXiv:2302.07926v1 [cs.CL]) 

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. (arXiv:2302.07912v1 [cs.CL]) 

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