conftrace_

tabular classification

10 papers

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Co-occurring keywords · papers mentioning both

large language model (3) in-context learning (3) prior-data fitted network (2) bias mitigation (2) synthetic tabular data (1) prompt design (1) symbolic regression (1) context optimization (1) large-scale dataset (1) random forest (1)

Papers

Fair-CCD: Mitigating Bias in Large Language Models for Tabular Classification Through Context-Contrastive Decoding ACL 2026 Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks AAAI 2026 Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations AAAI 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 2025 Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification EMNLP 2025 Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications NAACL 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Symbolic Regression Enhanced Decision Trees for Classification Tasks AAAI 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second ICLR 2023