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Strengthening Security and Verification Layers Amidst Complex AI Agents

The collected data indicates that AI coding agents and automation workflows are evolving beyond simple command execution, moving toward transferring local system context and handling complex business processes. This increasing complexity inherently raises security vulnerabilities and reliability concerns. Consequently, establishing multi-layered safeguards—such as 'full-stack formal verification' or pre-execution allowlisting—is emerging as a core technical trend. Furthermore, even RAG systems require explicit trust boundaries set at the application level rather than relying solely on basic implementation.

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arXivJuly 22, 2026

Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards

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RLAES는 강화학습을 통해 LLM의 에세이 채점과 피드백 생성을 동시에 최적화하는 통합 프레임워크입니다. 루브릭 기반 평가(RFE)와 적응형 게이트 최적화(AGFO)를 도입하여 피드백 품질을 높이고 채점 성능을 극대화했습니다.

llm
reinforcement-learning
essay-scoring
feedback-generation
rubric-based-evaluation

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Strengthening Security and Verification Layers Amidst Complex AI Agents

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Strengthening Security and Verification Layers Amidst Complex AI Agents

Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards

AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters

Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs

MeetingToM: Evaluating Multimodal LLMs on Theory-of-Mind Reasoning in Multi-Party Meetings

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

CircuitKIT : Circuit Discovery, Evaluation, and Application Toolkit for Mechanistic Interpretability

Selective State-Space Adaptation and Retrieval for Language Model Reasoning

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning

Grok 4.5 Isn't Open Source. The Apache 2.0 Release Has a Privacy Catch.

Decode-Time Grammars: Constrained LLM Generation over a Refinement Order of Grammar Fragments

Formal Verification of an Out-of-Order Multiprocessor against an In-Order Weak-Memory ISA

VirtualSet: Typed Ontology Worlds as an LLM Generation Target for Grounded Queries and Guarded Decisions

ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization

UVFaceFusion: Fast Multi-view Topologically Consistent Face Reconstruction in the Wild via UV-space Neural Fusion

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers

High-Level Synthesis of Efficient Pipelines with Visibility Control

An Efficient Fault-Tolerance Scheme for CKKS Computation on CPUs

PIP-NTT: Towards a Scalable Memory-Parallelized Accelerator for Iterative NTT in PQC

A Progressive Approach to Synthesizable RTL Design Generation Using LLMs

A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference