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Thursday, October 9, 2025
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University of Michigan Researchers Propose G-ACT: A Scalable Machine Learning Framework to Steer Programming Language Bias in LLMs
Tag:
University of Michigan Researchers Propose G-ACT: A Scalable Machine Learning Framework to Steer Programming Language Bias in LLMs
AI
Meta AI Introduces UMA (Universal Models for Atoms): A Family of Universal Models for Atoms
Mr Hossain
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July 13, 2025
0
AI
Crome: Google DeepMind’s Causal Framework for Robust Reward Modeling in LLM Alignment
Mr Hossain
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July 3, 2025
0
AI
Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development
Mr Hossain
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July 2, 2025
0
AI
OMEGA: A Structured Math Benchmark to Probe the Reasoning Limits of LLMs
Mr Hossain
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July 1, 2025
0
AI
LongWriter-Zero: A Reinforcement Learning Framework for Ultra-Long Text Generation Without Synthetic Data
Mr Hossain
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June 30, 2025
0
AI
TabArena: Benchmarking Tabular Machine Learning with Reproducibility and Ensembling at Scale
Mr Hossain
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June 30, 2025
0
AI
Building Advanced Multi-Agent AI Workflows by Leveraging AutoGen and Semantic Kernel
Mr Hossain
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June 30, 2025
0
AI
DSRL: A Latent-Space Reinforcement Learning Approach to Adapt Diffusion Policies in Real-World Robotics
Mr Hossain
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June 30, 2025
0
AI
MDM-Prime: A generalized Masked Diffusion Models (MDMs) Framework that Enables Partially Unmasked Tokens during Sampling
Mr Hossain
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June 30, 2025
0
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