Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2609.39583v1 Announce Type: cross Abstract: We present the results of \textbf{MADGRAV}, a deep-learning-based search for high-mass compact binar…
arXiv:2609.39558v1 Announce Type: cross Abstract: Accurate human torque estimation is crucial for enabling task-agnostic control in robotic exoskeleto…
arXiv:2609.39552v1 Announce Type: cross Abstract: Text-to-song generation models can be prompted to imitate specific artists or regurgitate entire son…
arXiv:2609.39542v1 Announce Type: cross Abstract: This report examines and compares some of the many fine tuning and prompting methods existing, apply…
arXiv:2609.39533v1 Announce Type: cross Abstract: During reinforcement learning with verifiable rewards (RLVR), large language models (LLMs) can explo…
arXiv:2609.39531v1 Announce Type: cross Abstract: We study the problem of estimating the guidance that steers the distribution learned by a diffusion…
arXiv:2609.39525v1 Announce Type: cross Abstract: Casting Bayesian inference as a neural network optimization problem targeting an amortized posterior…
arXiv:2609.39494v1 Announce Type: cross Abstract: Self-distillation with privileged context adapts a language model from demonstrations by letting the…
arXiv:2609.39481v1 Announce Type: cross Abstract: Efficient resource provisioning for large-scale workflows on cloud infrastructures is a critical per…
arXiv:2609.39473v1 Announce Type: cross Abstract: Autonomous agents increasingly rely on memory to generalize beyond their training environments. Howe…
arXiv:2609.39449v1 Announce Type: cross Abstract: Distributionally robust optimization (DRO) studies parameter estimation under uncertainty in the und…
arXiv:2609.39447v1 Announce Type: cross Abstract: Interpreting properties of LLM-generated data is important for understanding its utility and limitat…
arXiv:2609.39441v1 Announce Type: cross Abstract: Online reinforcement learning has been extended to flow matching for diffusion model (DM) image gene…
arXiv:2609.39440v1 Announce Type: cross Abstract: We compare the instance-wise, finite-sample risks of monotone spectral filters for linear regression…
arXiv:2609.39420v1 Announce Type: cross Abstract: Large language models are strong general-purpose code generators, but executable algorithmic trading…
arXiv:2609.39402v1 Announce Type: cross Abstract: Value-model-free RLVR methods such as GRPO assign uniform advantages to all tokens in a rollout, ign…
arXiv:2609.39397v1 Announce Type: cross Abstract: We study data-driven multi-period lost-sales inventory control under censored demand, where a stocko…
arXiv:2609.39394v1 Announce Type: cross Abstract: Large language models often solve independent problems in the same conversation. Can computation fro…
arXiv:2609.39385v1 Announce Type: cross Abstract: Argument Mining (AM) is a critical NLP task that remains significantly under-resourced in Arabic. Th…
arXiv:2609.39371v1 Announce Type: cross Abstract: In hospital workflows, electronic health records (EHRs) are often noisy, and may not contain the evi…