Buchumschlag

How Many Bytes Can You Take Out Of Brain-To-Text Decoding?

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Antonello, Richard, Sarma, Nihita, Tang, Jerry, Song, Jiaru, Huth, Alexander
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence Emerging Technologies
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Can Large Language Models Act as Symbolic Reasoners?
von: Sullivan, Rob, et al.
Veröffentlicht: (2024)

Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits
von: Dikshit, Subrit, et al.
Veröffentlicht: (2025)

Can You Move These Over There? An LLM-based VR Mover for Supporting Object Manipulation
von: Wang, Xiangzhi Eric, et al.
Veröffentlicht: (2025)

A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
von: Marrapese, Alexander, et al.
Veröffentlicht: (2024)

HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
von: Dasgupta, Sharanya, et al.
Veröffentlicht: (2025)

The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance
von: Mohanty, Anwesha, et al.
Veröffentlicht: (2025)

Bayesian Orchestration of Multi-LLM Agents for Cost-Aware Sequential Decision-Making
von: Amin, Danial
Veröffentlicht: (2026)

Are Large Language Models Reliable Argument Quality Annotators?
von: Mirzakhmedova, Nailia, et al.
Veröffentlicht: (2024)

Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
von: Ke, Shih-Wen, et al.
Veröffentlicht: (2025)

Artificial Agency and Large Language Models
von: van Lier, Maud, et al.
Veröffentlicht: (2024)

Quantifying the Effectiveness of Student Organization Activities using Natural Language Processing
von: Taruc, Lyberius Ennio F., et al.
Veröffentlicht: (2024)

Neurosymbolic Graph Enrichment for Grounded World Models
von: De Giorgis, Stefano, et al.
Veröffentlicht: (2024)

Pel, A Programming Language for Orchestrating AI Agents
von: Mohammadi, Behnam
Veröffentlicht: (2025)

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training
von: Nguyen, Luong N.
Veröffentlicht: (2026)

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test?
von: Khera, Bhakti, et al.
Veröffentlicht: (2025)

An Auditable Pipeline for Fuzzy Full-Text Screening in Systematic Reviews: Integrating Contrastive Semantic Highlighting and LLM Judgment
von: Mortezaagha, Pouria, et al.
Veröffentlicht: (2025)

State and Memory is All You Need for Robust and Reliable AI Agents
von: Muhoberac, Matthew, et al.
Veröffentlicht: (2025)

ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity
von: Yin, Ziang, et al.
Veröffentlicht: (2026)

Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents
von: Pham, Khanh Trinh, et al.
Veröffentlicht: (2025)

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
von: Sprigler, Asher, et al.
Veröffentlicht: (2024)

Language-Dependent Political Bias in AI: A Study of ChatGPT and Gemini
von: Yuksel, Dogus, et al.
Veröffentlicht: (2025)

Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models
von: Mahajan, Pranav, et al.
Veröffentlicht: (2026)

Transformer-Based Neural Quantum Digital Twins for Many-Body Quantum Simulation and Optimal Annealing Schedule Design
von: Lu, Jianlong, et al.
Veröffentlicht: (2025)

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
von: Wang, Huisheng, et al.
Veröffentlicht: (2025)

On the Limitations of Compute Thresholds as a Governance Strategy
von: Hooker, Sara
Veröffentlicht: (2024)

An Autonomous GIS Agent Framework for Geospatial Data Retrieval
von: Ning, Huan, et al.
Veröffentlicht: (2024)

Teaching Programming in the Age of Generative AI: Insights from Literature, Pedagogical Proposals, and Student Perspectives
von: Rubio-Manzano, Clemente, et al.
Veröffentlicht: (2025)

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case
von: Hairston, JaMor, et al.
Veröffentlicht: (2025)

A Review of Challenges in Speech-based Conversational AI for Elderly Care
von: Klaassen, Willemijn, et al.
Veröffentlicht: (2024)

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
von: Lu, Yuxing, et al.
Veröffentlicht: (2026)

Effects of Prompt Length on Domain-specific Tasks for Large Language Models
von: Liu, Qibang, et al.
Veröffentlicht: (2025)

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills
von: Liu, Yi, et al.
Veröffentlicht: (2026)

Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting
von: Li, Ying, et al.
Veröffentlicht: (2024)

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
von: Esencan, Mert, et al.
Veröffentlicht: (2024)

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
von: Gerstgrasser, Matthias, et al.
Veröffentlicht: (2024)

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
von: Leon, Vasileios, et al.
Veröffentlicht: (2023)

Embedding-Aligned Language Models
von: Tennenholtz, Guy, et al.
Veröffentlicht: (2024)

Scaling Multiagent Systems with Process Rewards
von: Li, Ed, et al.
Veröffentlicht: (2026)

Large-Language Memorization During the Classification of United States Supreme Court Cases
von: Ortega, John E., et al.
Veröffentlicht: (2025)

Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design
von: Djeffal, Christian
Veröffentlicht: (2025)