:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wang, Jun
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning I.2.6; I.2.7
Online Access:	https://arxiv.org/abs/2512.22716
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
by: Ye, Hua, et al.
Published: (2025)

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

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding
by: Wang, Chiyue, et al.
Published: (2026)

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
by: Xie, Kevin, et al.
Published: (2024)

Graph Memory Transformer (GMT)
by: Zanarini, Nicola, et al.
Published: (2026)

Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo
by: Gadzhiev, Artem, et al.
Published: (2026)

SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization
by: Mohammadabadi, Seyed Mahmoud Sajjadi, et al.
Published: (2026)

FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)

Using Deep Learning to Generate Semantically Correct Hindi Captions
by: Khan, Wasim Akram, et al.
Published: (2026)

FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
by: Zhang, Yizhou, et al.
Published: (2025)

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
by: Ott, Joachim, et al.
Published: (2024)

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
by: Mercat, Jean, et al.
Published: (2026)

Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
by: Zhao, Xingyu, et al.
Published: (2026)

SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
by: Bajpai, Ashutosh, et al.
Published: (2026)

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

WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents
by: Liu, Bingnan, et al.
Published: (2026)

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
by: Lan, Guangchen, et al.
Published: (2025)

How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments
by: Wang, Fuxin, et al.
Published: (2026)

Natural Language Can Help Bridge the Sim2Real Gap
by: Yu, Albert, et al.
Published: (2024)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
by: Lan, Guangchen, et al.
Published: (2025)

TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
by: Pan, Muyu, et al.
Published: (2026)

Persona Features Control Emergent Misalignment
by: Wang, Miles, et al.
Published: (2025)

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
by: Lan, Guangchen, et al.
Published: (2026)

PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
by: Ding, Ruiyi, et al.
Published: (2026)

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
by: Lyu, Bohan, et al.
Published: (2024)

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
by: Cho, Hanjun, et al.
Published: (2026)

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2026)

Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text
by: Zhou, Tianyang, et al.
Published: (2026)

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
by: Zhang, Gongbo, et al.
Published: (2026)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
by: Zhang, Liangliang, et al.
Published: (2025)

Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)

OFMU: Optimization-Driven Framework for Machine Unlearning
by: Asif, Sadia, et al.
Published: (2025)

Autonomous Deep Agent
by: Yu, Amy, et al.
Published: (2025)

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
by: Adapala, Sai Teja Reddy
Published: (2025)

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
by: Eisenstadt, Roy, et al.
Published: (2025)

Node-Level Uncertainty Estimation in LLM-Generated SQL
by: Hasson, Hilaf, et al.
Published: (2025)

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)

ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing
by: Kadu, Ankush, et al.
Published: (2025)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
by: Ratner, Edward, et al.
Published: (2024)

CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
by: Panuganti, Rajkiran
Published: (2026)