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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.CL2026

Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making

Amirhosein Ghasemabadi, Ruichen Chen, Bahador Rashidi +1

The paper proposes Multi-Head Latent Control, a lightweight add‑on that reads hidden‑state trajectories from a frozen LLM or VLM to decide whether to continue reasoning, defer to a…

cs.CV2026

RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment

Liyao Jiang, Ruichen Chen, Chao Gao +1

Recent text-to-image (T2I) diffusion models achieve remarkable realism, yet faithful prompt-image alignment remains challenging, particularly for complex prompts with multiple obje…

cs.CL2026

Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits

Amirhosein Ghasemabadi, Di Niu

Large language models (LLMs) generate fluent and complex outputs but often fail to recognize their own mistakes and hallucinations. Existing approaches typically rely on external j…

cs.CL2025

iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning

Sijia Chen, Di Niu

Large language models (LLMs), when guided by explicit textual plans, can perform reliable step-by-step reasoning during problem-solving. However, generating accurate and effective…

cs.CV2025

Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape

Ruichen Chen, Keith G. Mills, Liyao Jiang +2

Diffusion Transformers (DiT) have become the de-facto model for generating high-quality visual content like videos and images. A huge bottleneck is the attention mechanism where co…

cs.CV2025

Grounding Degradations in Natural Language for All-In-One Video Restoration

Muhammad Kamran Janjua, Amirhosein Ghasemabadi, Kunlin Zhang +3

In this work, we propose an all-in-one video restoration framework that grounds degradation-aware semantic context of video frames in natural language via foundation models, offeri…