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Growing Concerns Over AI Code Quality and Security

The feed has recently focused heavily on the advancements of AI agents and the new challenges they introduce to software development. There is a noticeable technical effort to ensure output reliability, seen in tools like 'depgraph' for detecting latent code debt from AI-generated code or the use of adaptive ensemble methods (COVE) for pre-validating LLM outputs. Furthermore, alongside predictions that AI agents will evolve to autonomously manage aspects of human life, there is a concurrent warning about escalating security risks and infrastructure vulnerabilities, indicating significant uncertainty.

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As of Nov 4, 2026, 11:36 PM UTC

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arXivOctober 14, 2026

MFG: Multi-turn Feedback Guided Molecular Optimization

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본 논문은 다중 목표 분자 최적화 과정에서 발생하는 반복적인 피드백을 활용하기 위해 Multi-turn Feedback Guided (MFG) 프레임워크를 제안합니다. MFG는 LLM이 이전 턴의 피드백을 사용하여 점진적으로 분자를 최적화하도록 강화학습(RL)으로 훈련하며, 속성 개선과 원본 유사성을 모두 고려하는 것이 특징입니다. 이를 통해 기존 모델 대비 높은 성능 향상을 입증했습니다.

molecular_optimization
llm
drug_discovery
reinforcement_learning
mfg

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Growing Concerns Over AI Code Quality and Security

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Growing Concerns Over AI Code Quality and Security

MFG: Multi-turn Feedback Guided Molecular Optimization

Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards

Hybrid Reasoning Agents

AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards

Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards

DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning

What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study

Why SALD Is Cutting AI Training Costs in Half – You Won’t Believe the Numbers!

Integration, Enhancements and Evaluation of Memory Simulators

SafeDSE: Joint Exploration of Safety Architecture Patterns, Mapping, and Scheduling for Dataflow Applications With Safety Arguments (Extended Version)

Walk-on-Ambient-Patch: Solver-Adapted Isometric Embeddings for Projected Walk on Spheres

FORGE: Procedural Weight Generation for Sparse MoE Inference

Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusion

AgentCue: Statistical Summaries for Guiding Decentralized Multi-Agent Self-Organization

Formal-Verification-Guided Bayesian Optimization for Non-Intrusive Last-Mile Coverage Closure

When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles

HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data

HILO: Enabling Low-power, Dual-Band Communication using Tunnel Diode Oscillators

TempFit: Panoptic Symbol Spotting via Template Fitting

HoOPOE: A Holography-Optimized Perceptual ObjectivE function