:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Liu, Xincheng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence G.1.10; G.4; I.2.6; I.2.7
Online Access:	https://arxiv.org/abs/2510.19866
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Hamiltonian flows from numerical integrators and examples
by: Fang, Rui, et al.
Published: (2025)

Improving ML Training Data with Gold-Standard Quality Metrics
by: Barrett, Leslie, et al.
Published: (2025)

The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
by: Shah, Aakriti, et al.
Published: (2025)

The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
by: Luyten, Max Ruiz, et al.
Published: (2026)

Closing the Curvature Gap: Full Transformer Hessians and Their Implications for Scaling Laws
by: Petrov, Egor, et al.
Published: (2025)

When Reasoning Fails: Evaluating 'Thinking' LLMs for Stock Prediction
by: Sodha, Rakeshkumar H
Published: (2025)

Latent-Autoregressive GP-VAE Language Model
by: Ruffenach, Yves
Published: (2025)

FR-LUX: Friction-Aware, Regime-Conditioned Policy Optimization for Implementable Portfolio Management
by: Zhang, Jian'an
Published: (2025)

Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning
by: Yang, Shan
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation
by: Gao, Yuxuan, et al.
Published: (2026)

Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding
by: Lee, Serin, et al.
Published: (2024)

Convex Optimization for Alignment and Preference Learning on a Single GPU
by: Feng, Miria, et al.
Published: (2026)

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
by: Basu, Abhinaba, et al.
Published: (2026)

Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Learning the meanings of function words from grounded language using a visual question answering model
by: Portelance, Eva, et al.
Published: (2023)

Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
by: Lin, Shuhang, et al.
Published: (2026)

Counterfactual Causal Inference in Natural Language with Large Language Models
by: Gendron, Gaël, et al.
Published: (2024)

The Trilemma of Truth in Large Language Models
by: Savcisens, Germans, et al.
Published: (2025)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

ATANT: An Evaluation Framework for AI Continuity
by: Tanguturi, Samuel Sameer
Published: (2026)

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
by: Gendron, Gaël, et al.
Published: (2025)

Generative AI on Wall Street -- Opportunities and Risk Controls
by: Shen, Jackie
Published: (2025)

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales
by: Salfati, Samuel
Published: (2026)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

Drift and selection in LLM text ecosystems
by: Riis, Søren
Published: (2026)

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
by: Agarwal, Amit, et al.
Published: (2024)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
by: Aharon, Eliya Naomi, et al.
Published: (2026)

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
by: Portelance, Eva, et al.
Published: (2024)

Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models
by: Masrourisaadat, Nila, et al.
Published: (2024)

Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development
by: Aditto, Arif
Published: (2026)

Thread Detection and Response Generation using Transformers with Prompt Optimisation
by: T, Kevin Joshua, et al.
Published: (2024)

Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
by: Nayak, Nikhil, et al.
Published: (2026)

Can Large Language Models Learn Independent Causal Mechanisms?
by: Gendron, Gaël, et al.
Published: (2024)

Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
by: Heyman, Alex, et al.
Published: (2025)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
by: Agia, Christopher, et al.
Published: (2024)