Cover Image

Advancing Sequential Numerical Prediction in Autoregressive Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fei, Xiang, Lu, Jinghui, Sun, Qi, Feng, Hao, Wang, Yanjie, Shi, Wei, Wang, An-Lan, Tang, Jingqun, Huang, Can
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding
by: Lu, Jinghui, et al.
Published: (2024)

PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
by: Lu, Jinghui, et al.
Published: (2024)

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning
by: Lu, Jinghui, et al.
Published: (2025)

Post-Completion Learning for Language Models
by: Fei, Xiang, et al.
Published: (2025)

Vision as LoRA
by: Wang, Han, et al.
Published: (2025)

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
by: Wang, Siwei, et al.
Published: (2024)

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
by: Zhang, Xiaoying, et al.
Published: (2025)

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning
by: Yu, Haiyang, et al.
Published: (2025)

DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding
by: Feng, Hao, et al.
Published: (2023)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
by: Tang, Lei, et al.
Published: (2025)

LocalGPT: Benchmarking and Advancing Large Language Models for Local Life Services in Meituan
by: Lan, Xiaochong, et al.
Published: (2025)

CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation
by: Huang, Chihan, et al.
Published: (2025)

Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation
by: Du, Tianqi, et al.
Published: (2026)

Bridging the Version Gap: Multi-version Training Improves ICD Code Prediction, Especially for Rare Codes
by: Liu, Jinghui, et al.
Published: (2026)

Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
by: Wang, Jiahao, et al.
Published: (2025)

When Diffusion Breaks Constraints: Sequential Autoregressive Generation with RL and MCTS
by: Zhao, Zirui, et al.
Published: (2025)

Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
by: Gao, Xiangxiang, et al.
Published: (2024)

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
by: Zhao, Jun, et al.
Published: (2024)

SAFER: Probing Safety in Reward Models with Sparse Autoencoder
by: Shi, Wei, et al.
Published: (2025)

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?
by: Wang, An-Lan, et al.
Published: (2025)

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach
by: Yang, Han, et al.
Published: (2025)

The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
by: Wang, Zheng, et al.
Published: (2026)

Numerical Pruning for Efficient Autoregressive Models
by: Shen, Xuan, et al.
Published: (2024)

Constraining Sequential Model Editing with Editing Anchor Compression
by: Xu, Hao-Xiang, et al.
Published: (2025)

Mitigating Shortcut Reasoning in Language Models: A Gradient-Aware Training Approach
by: Cao, Hongyu, et al.
Published: (2026)

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
by: Shen, Maohao, et al.
Published: (2025)

Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering
by: Wang, Yuxiang, et al.
Published: (2024)

RecycleGPT: An Autoregressive Language Model with Recyclable Module
by: Jiang, Yufan, et al.
Published: (2023)

Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
by: Huang, Xiang, et al.
Published: (2025)

Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing
by: Sun, Hanchi, et al.
Published: (2026)

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
by: Wang, Jianing, et al.
Published: (2026)

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation
by: He, Yanjie
Published: (2026)

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
by: Yang, Yan, et al.
Published: (2024)

NUM2EVENT: Interpretable Event Reasoning from Numerical time-series
by: Feng, Ninghui, et al.
Published: (2025)

Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better
by: Wang, Dianyi, et al.
Published: (2025)

Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer
by: Zhang, Xiang, et al.
Published: (2024)

Regurgitative Training: The Value of Real Data in Training Large Language Models
by: Zhang, Jinghui, et al.
Published: (2024)

Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
by: Yuan, Mengying, et al.
Published: (2025)

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
by: Li, Pengxiang, et al.
Published: (2026)