TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
cs.LG, cs.AI
Submitted: 2026-02-12
Updated: 2026-09-24
Terminology
Sources
- ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
- Strengthening LLMs for Tabular Prediction with Structural Priors
- Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
- Linq-Embed-Mistral Technical Report
- CL-bench: A Benchmark for Context Learning
- Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
- TabTransformer: Tabular Data Modeling Using Contextual Embeddings
- Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
- More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
- Tabular Transfer Learning via Prompting LLMs
- STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
- gpt-oss-120b & gpt-oss-20b Model Card
- TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- HybridFlow: A Flexible and Efficient RLHF Framework
- SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
- TableGPT2: A Large Multimodal Model with Tabular Data Integration
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