Cover Image

MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinpei, Sun, Jingyuan, Wang, Shaonan, Ye, Jing, Zhang, Xiaohan, Zong, Chengqing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Computational Models to Study Language Processing in the Human Brain: A Survey
by: Wang, Shaonan, et al.
Published: (2024)

Component-Level Lesioning of Language Models Reveals Clinically Aligned Aphasia Phenotypes
by: Wang, Yifan, et al.
Published: (2026)

DMON: A Simple yet Effective Approach for Argument Structure Learning
by: Sun, Wei, et al.
Published: (2024)

Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment
by: Cui, Yang, et al.
Published: (2026)

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions
by: Li, Chong, et al.
Published: (2024)

Listening to the Echo: User-Reaction Aware Policy Optimization via Scalar-Verbal Hybrid Reinforcement Learning
by: Ye, Jing, et al.
Published: (2026)

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
by: Ye, Chunyu, et al.
Published: (2025)

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
by: Li, Chong, et al.
Published: (2025)

Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models
by: Qiu, Ziliang, et al.
Published: (2025)

Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning
by: Wang, Yulong, et al.
Published: (2024)

MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models
by: Zhang, Yunhao, et al.
Published: (2024)

Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models
by: Zhang, Yunhao, et al.
Published: (2024)

Language Imbalance Driven Rewarding for Multilingual Self-improving
by: Yang, Wen, et al.
Published: (2024)

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
by: Kim, Dahyun, et al.
Published: (2023)

Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
by: Chen, Yangneng, et al.
Published: (2026)

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
by: Hu, Yingqi, et al.
Published: (2025)

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
by: Li, Chong, et al.
Published: (2023)

Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
by: Song, Dingjie, et al.
Published: (2024)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
by: Yu, Donglei, et al.
Published: (2025)

Language Reconstruction with Brain Predictive Coding from fMRI Data
by: Yin, Congchi, et al.
Published: (2024)

Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective
by: Yang, Wen, et al.
Published: (2025)

Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
by: Yang, Wen, et al.
Published: (2025)

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
by: Sun, Yizheng, et al.
Published: (2025)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
by: Zhao, Yukun, et al.
Published: (2023)

Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
by: Chen, Hongyang, et al.
Published: (2026)

A Simple and Effective Pruning Approach for Large Language Models
by: Sun, Mingjie, et al.
Published: (2023)

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
by: Liang, Yupu, et al.
Published: (2025)

ALIVE: Awakening LLM Reasoning via Adversarial Learning and Instructive Verbal Evaluation
by: Duan, Yiwen, et al.
Published: (2026)

EasyRec: Simple yet Effective Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2024)

How Syntax Specialization Emerges in Language Models
by: Duan, Xufeng, et al.
Published: (2025)

Simple and Effective Masked Diffusion Language Models
by: Sahoo, Subham Sekhar, et al.
Published: (2024)

What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores
by: Feghhi, Ebrahim, et al.
Published: (2024)

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior in Large Language Models
by: Müller, Heimo, et al.
Published: (2026)

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information
by: Zhang, Wanyue, et al.
Published: (2024)

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning
by: Zhang, Luan, et al.
Published: (2026)

Large Language Models Are Still Misled by Simple Bias Ensembles
by: Sun, Zhouhao, et al.
Published: (2025)

ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
by: Yang, Junyao, et al.
Published: (2026)

A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression
by: Devoto, Alessio, et al.
Published: (2024)

CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment
by: Fang, Feiteng, et al.
Published: (2024)

PromptArmor: Simple yet Effective Prompt Injection Defenses
by: Shi, Tianneng, et al.
Published: (2025)