…Yet, recent progress in LLM coding has focused on well-defined tasks such as feature implementation, bug fixing, and competitive programming . Open-ended coding remains a weak spot for LLMs, largely because…
…Minbeom Kim , , , , , , , , Abstract LiSA enables adaptive safety guardrails for AI agents by converting occasional failures into reusable policy abstractions and using evidence-aware confidence gating to improve performance under sparse and noisy…
…A per-query oracle on the frozen base model exceeds contrastive fine-tuning at the same fixed budget, pointing to adaptive budget selection as future work. Code is available at https://github…
…Furthermore, we show that a top-k approximation of the baseline further lowers cost without compromising performance. Across mathematical and scientific reasoning benchmarks, vOPD consistently outperforms vanilla OPD and matches the most…
…Xin Li , , , , Abstract On-policy distillation with reward extrapolation exhibits a safety threshold beyond which structured output tasks lose format preservation, with empirical validation showing performance parity at reduced parameter count when…
…Yunho Choi , Jongwon Lim , , , , Abstract POISE enables stable and efficient policy optimization for large reasoning models by estimating baselines using internal model signals, reducing computational overhead while maintaining performance comparable to existing…
…Experiments across multiple model scales and architectures show that SEIF consistently improves instruction-following performance, suggesting strong generality. Further analyses reveal the sources of improvement and identify an effective training strategy for…
…However, these outputs are inherently flattened, entangling foreground elements, background, and text within a fixed canvas. As a result, flexible post-generation editing remains challenging, revealing a clear last-mile gap toward…
…Empirical Failure Modes and Simple Fixes (2026) Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers (2026) Skip-Connected Policy Optimization for Implicit Advantage (2026) Demystifying OPD: Length Inflation…
…Shijue Huang , , , , , , , , , Abstract A visual-native agent harness with image bank reference protocol enables reusable intermediate visual evidence and closed-loop data generation that improves multimodal deep search performance across multiple benchmarks…