AI Research Papers
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Less is More: Recursive Reasoning with Tiny Networks
Samsung SAIL Montreal
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
City University of Hong Kong, Tencent, Zhejiang University
Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
De La Salle University
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool-Augmented Large Language Models
Alibaba Business School, Hangzhou Normal University
Integrated Framework for LLM Evaluation with Answer Generation
Inha University
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle
Fudan University, ByteDance SAIL Team, Lancaster University, Tongji University, University of Toronto
Defeating Nondeterminism in LLM Inference
Thinking Machines
A Survey of Reinforcement Learning for Large Reasoning Models
Tsinghua University, Shanghai AI Laboratory, Shanghai Jiao Tong University
NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models
Zhejiang University
Small Language Models are the Future of Agentic AI
NVIDIA Research, Georgia Institute of Technology
MambaByte: Token-Free Selective State Space Models
City University of Hong Kong, Huawei Technologies
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
InternVL Team, Shanghai AI Laboratory
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
ByteDance Seed, Fudan University, Stanford University, Princeton University
Benchmark-Driven Selection of AI: Evidence from DeepSeek-R1
Charles University
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Hong Kong Polytechnic University, University of Manchester
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