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Shaping Political Discourse using multi-source News Summarization. (arXiv:2312.11703v1 [cs.CL]) 

Opportunities and Challenges of Applying Large Language Models in Building Energy Efficiency and Decarbonization Studies: An Exploratory Overview. (arXiv:2312.11701v1 [eess.SY]) 

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. (arXiv:2312.11681v1 [cs.HC]) 

Evaluating Language-Model Agents on Realistic Autonomous Tasks. (arXiv:2312.11671v1 [cs.CL]) 

Regularized Conditional Alignment for Multi-Domain Text Classification. (arXiv:2312.11572v1 [cs.CL]) 

A review-based study on different Text-to-Speech technologies. (arXiv:2312.11563v1 [cs.SD]) 

A Survey of Reasoning with Foundation Models. (arXiv:2312.11562v1 [cs.AI]) 

StarVector: Generating Scalable Vector Graphics Code from Images. (arXiv:2312.11556v1 [cs.CV]) 

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. (arXiv:2312.11554v1 [cs.CL]) 

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. (arXiv:2312.11553v1 [cs.SI]) 

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. (arXiv:2312.11541v1 [cs.AI]) 

KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. (arXiv:2312.11539v1 [cs.AI]) 

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. (arXiv:2312.11532v1 [cs.CL]) 

Assessing GPT4-V on Structured Reasoning Tasks. (arXiv:2312.11524v1 [cs.CL]) 

ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. (arXiv:2312.11523v1 [cs.CL]) 

Large Language Models are Complex Table Parsers. (arXiv:2312.11521v1 [cs.CL]) 

User Modeling in the Era of Large Language Models: Current Research and Future Directions. (arXiv:2312.11518v1 [cs.CL]) 

Unlocking Musculoskeletal Disorder Risk Factors: NLP-Based Classification and Mode-Based Ranking. (arXiv:2312.11517v1 [cs.CL]) 

LLM in a flash: Efficient Large Language Model Inference with Limited Memory. (arXiv:2312.11514v1 [cs.CL]) 

ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity. (arXiv:2312.11511v1 [cs.CL]) 

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