Papers

• Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2026)
  Sarah Y. Li et al.
  5.01
• PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction (2026)
  Zhuoqun Li et al.
  2.00
• AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes (2026)
  Matteo Fasulo et al.
  2.00
• From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models (2026)
  Zanyi Wang et al.
  2.00
• Vision as Unified Multimodal Generation (2026)
  Xiaoyang Han et al.
  2.00
• Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models (2026)
  Lin Zheng et al.
  1.94
• Speculative Ad-hoc Querying (2025)
  Haoyu Li et al.
  1.28
• Zero-shot Text-to-SQL Learning with Auxiliary Task (2019)
  Shuaichen Chang et al.
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• Train No Evil: Selective Masking for Task-Guided Pre-Training (2020)
  Yuxian Gu et al.
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• Structure-Grounded Pretraining for Text-to-SQL (2020)
  Xiang Deng et al.
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• TAPEX: Table Pre-training via Learning a Neural SQL Executor (2021)
  Qian Liu and Bei Chen and Jiaqi Guo and Morteza Ziyadi and Zeqi Lin and Weizhu Chen and Jian-Guang Lou
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• Text-to-Table: A New Way of Information Extraction (2021)
  Xueqing Wu et al.
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• HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing (2022)
  Yanzhao Zheng et al.
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• TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT (2023)
  Liangyu Zha et al.
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• Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning (2024)
  Yifeng Ding et al.
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• MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models (2024)
  Pei Wang et al.
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• SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding (2024)
  Hao Li et al.
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