:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wattenberg, Martin, Viégas, Fernanda B.
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2407.14662
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
by: Li, Kenneth, et al.
Published: (2024)

When Bad Data Leads to Good Models
by: Li, Kenneth, et al.
Published: (2025)

The Geometry of Self-Verification in a Task-Specific Reasoning Model
by: Lee, Andrew, et al.
Published: (2025)

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
by: Li, Kenneth, et al.
Published: (2023)

What Does it Mean for a Neural Network to Learn a "World Model"?
by: Li, Kenneth, et al.
Published: (2025)

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
by: Li, Kenneth, et al.
Published: (2022)

Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
by: Li, Kenneth, et al.
Published: (2024)

Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
by: Bai, Xiaoyan, et al.
Published: (2025)

Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions
by: Lee, Andrew, et al.
Published: (2026)

Decomposing Query-Key Feature Interactions Using Contrastive Covariances
by: Lee, Andrew, et al.
Published: (2026)

Shared Global and Local Geometry of Language Model Embeddings
by: Lee, Andrew, et al.
Published: (2025)

Does visualization help AI understand data?
by: Li, Victoria R., et al.
Published: (2025)

Generalization in Neural Networks: A Broad Survey
by: Rohlfs, Chris
Published: (2022)

A Survey on Knowledge Editing of Neural Networks
by: Mazzia, Vittorio, et al.
Published: (2023)

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks
by: Bhuiyan, Masudul Hasan Masud, et al.
Published: (2025)

A Comprehensive Survey on Self-Interpretable Neural Networks
by: Ji, Yang, et al.
Published: (2025)

Adaptive Physics-informed Neural Networks: A Survey
by: Torres, Edgar, et al.
Published: (2025)

Can Interpretation Predict Behavior on Unseen Data?
by: Li, Victoria R., et al.
Published: (2025)

Survey on Generalization Theory for Graph Neural Networks
by: Vasileiou, Antonis, et al.
Published: (2025)

To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
by: Shi, Wei, et al.
Published: (2026)

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks
by: Campbell, Declan, et al.
Published: (2024)

Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
by: Shouli, Austin, et al.
Published: (2025)

A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
by: Li, Pang, et al.
Published: (2024)

Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
by: Jin, Yufei, et al.
Published: (2024)

Deep Model Merging: The Sister of Neural Network Interpretability -- A Survey
by: Khan, Arham, et al.
Published: (2024)

Graph Neural Networks for Job Shop Scheduling Problems: A Survey
by: Smit, Igor G., et al.
Published: (2024)

Low-bit Model Quantization for Deep Neural Networks: A Survey
by: Liu, Kai, et al.
Published: (2025)

Systematic Relational Reasoning With Epistemic Graph Neural Networks
by: Khalid, Irtaza, et al.
Published: (2024)

From Language to Action in Arabic: Reliable Structured Tool Calling via Data-Centric Fine-Tuning
by: Nacar, Omer, et al.
Published: (2026)

Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
by: Jannach, Dietmar, et al.
Published: (2024)

Compositional Function Networks: A High-Performance Alternative to Deep Neural Networks with Built-in Interpretability
by: Li, Fang
Published: (2025)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
by: Hewageegana, Kanishka, et al.
Published: (2025)

Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey
by: Zohari, Payam, et al.
Published: (2025)

A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
by: Li, Yuanpeng
Published: (2025)

SRNN: Spatiotemporal Relational Neural Network for Intuitive Physics Understanding
by: Yang, Fei
Published: (2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
by: Geng, Xue, et al.
Published: (2024)

A Call to Action for a Secure-by-Design Generative AI Paradigm
by: Alharthi, Dalal, et al.
Published: (2025)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)

What Planning Problems Can A Relational Neural Network Solve?
by: Mao, Jiayuan, et al.
Published: (2023)