Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:Masked diffusion models (MDMs) generate discrete data by iteratively unmasking multiple…
Tag: cs.LG
TernaryLLM: Ternarized Large Language Model
[Submitted on 11 Jun 2024 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Large language…
Infinitesimal Operator World Models: Finite-Sample Guarantees for Offline Reinforcement Learning
[Submitted on 13 Nov 2025 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Continuous-time stochastic…
Measuring and Mitigating Solution Mode Collapse in RLVR
[Submitted on 8 Oct 2026 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:A language…
SynAct: Synergistic Active Feedback Learning for LLM Agents
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:LLM agents executing multi-step workflows fail in two fundamentally different ways:…
Market Impact Estimation via Causal Foundation Models
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:When a trader executes a large order, the relevant question is…
Smoothing the Top-k Exposure Boundary for Sparse Mixture-of-Experts
[Submitted on 8 Oct 2026 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Sparse Mixture-of-Experts…
Bayesian dynamic scheduling of multipurpose batch processes under incomplete look-ahead information
[Submitted on 30 Nov 2025 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Multipurpose batch…
On the Rate of Convergence of GD in Non-linear Neural Networks: An Adversarial Robustness Perspective
[Submitted on 2 Mar 2026 (v1), last revised 8 Oct 2026 (this version, v2)] View PDF Abstract:We study the convergence…
Sample-Adaptive Zeroth-Order Post-Training
[Submitted on 8 Oct 2026] View PDF Abstract:Zeroth-order (ZO) optimization offers a memory-efficient alternative to backpropagation for fine-tuning large language…