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])
All recent Computation and Language articles on arXiv.org for the Fediverse
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