Academic

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Academic · 1 min

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory

arXiv:2604.01007v2 Announce Type: new Abstract: AI agents increasingly operate over extended time horizons, yet their ability to retain, organize, and recall multimodal experiences remains a …

Jiaqi Liu, Zipeng Ling, Shi Qiu, Yanqing Liu, Siwei Han, Peng Xia, Haoqin Tu, Zeyu Zheng, Cihang Xie, Charles Fleming, Mingyu Ding, Huaxiu Yao

1 views Apr 3

Academic · 1 min

RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning

arXiv:2604.00790v1 Announce Type: new Abstract: While large language models (LLMs) have demonstrated strong performance on complex reasoning tasks such as competitive programming (CP), existing methods …

Shaopeng Fu, Xingxing Zhang, Li Dong, Di Wang, Furu Wei

0 views Apr 3

Academic · 1 min

CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection

arXiv:2604.00716v1 Announce Type: new Abstract: Transformer language models contain localized reasoning circuits, contiguous layer blocks that improve reasoning when duplicated at inference time. Finding these …

Rajkiran Panuganti

0 views Apr 3

Academic · 1 min

Agent psychometrics: Task-level performance prediction in agentic coding benchmarks

arXiv:2604.00594v1 Announce Type: new Abstract: As the focus in LLM-based coding shifts from static single-step code generation to multi-step agentic interaction with tools and environments, …

Chris Ge, Daria Kryvosheieva, Daniel Fried, Uzay Girit, Kaivalya Hariharan

0 views Apr 3

Academic · 1 min

BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery

arXiv:2604.00550v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into life sciences has catalyzed the development of "AI Scientists." However, translating these …

Yao Qin, Yangyang Yan, Jinhua Pang, Xiaoming Zhang

0 views Apr 3

Academic · 1 min

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models

arXiv:2604.00547v1 Announce Type: new Abstract: Unified Multimodal Large Models (UMLMs) integrate understanding and generation capabilities within a single architecture. While this architectural unification, driven by …

Zixiang Peng, Yongxiu Xu, Qinyi Zhang, Jiexun Shen, Yifan Zhang, Hongbo Xu, Yubin Wang, Gaopeng Gou

0 views Apr 3

Academic · 1 min

The Silicon Mirror: Dynamic Behavioral Gating for Anti-Sycophancy in LLM Agents

arXiv:2604.00478v2 Announce Type: new Abstract: Large Language Models (LLMs) increasingly prioritize user validation over epistemic accuracy - a phenomenon known as sycophancy. We present The …

Harshee Jignesh Shah (Independent Researcher)

0 views Apr 3

Academic · 1 min

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models

arXiv:2604.00445v1 Announce Type: new Abstract: Uncertainty estimation (UE) aims to detect hallucinated outputs of large language models (LLMs) to improve their reliability. However, UE metrics …

Ponhvoan Srey, Quang Minh Nguyen, Xiaobao Wu, Anh Tuan Luu

0 views Apr 3

Academic · 1 min

Execution-Verified Reinforcement Learning for Optimization Modeling

arXiv:2604.00442v1 Announce Type: new Abstract: Automating optimization modeling with LLMs is a promising path toward scalable decision intelligence, but existing approaches either rely on agentic …

Runda Guan, Xiangqing Shen, Jiajun Zhang, Yifan Zhang, Jian Cheng, Rui Xia

0 views Apr 3

Academic · 1 min

Self-Routing: Parameter-Free Expert Routing from Hidden States

arXiv:2604.00421v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) layers increase model capacity by activating only a small subset of experts per token, and typically rely on …

Jama Hussein Mohamud, Drew Wagner, Mirco Ravanelli

0 views Apr 3

Academic · 1 min

In harmony with gpt-oss

arXiv:2604.00362v1 Announce Type: new Abstract: No one has independently reproduced OpenAI's published scores for gpt-oss-20b with tools, because the original paper discloses neither the tools …

Borislav Mavrin

0 views Apr 3

Academic · 1 min

Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education

arXiv:2604.00281v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in computer science education through AI-assisted programming tools, yet such workflows often exhibit …

Mark Dranias, Adam Whitley

0 views Apr 3

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Academic

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory

RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning

CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection

Agent psychometrics: Task-level performance prediction in agentic coding benchmarks

BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models

The Silicon Mirror: Dynamic Behavioral Gating for Anti-Sycophancy in LLM Agents

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models

Execution-Verified Reinforcement Learning for Optimization Modeling

Self-Routing: Parameter-Free Expert Routing from Hidden States

In harmony with gpt-oss

Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education

JCG, PC

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