…Furthermore, we curate representative datasets, benchmarks, and evaluation metrics, offering a structured comparison across task families and identifying open challenges in synchronization , spatial reasoning , controllability , and safety . By consolidating this rapidly expanding…
Papers arxiv:2604.26091 Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital Published on Apr 28 Submitted by Poof on Apr 30 DXRG AI Inc Authors: , , , , , , Abstract Autonomous language…
…No dataset linking this paper Cite arxiv.org/abs/2606.10029 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…Suraj Ranganath , Abstract A local benchmark-generation pipeline transforms live property graphs and seed queries into balanced NL-to-Cypher datasets for enterprise knowledge graphs, incorporating schema profiling, reverse-query grounding, and…
…within a single framework that controls for the geometric content of the intervention. Across seven decoder-only language models (1B to 70B parameters) and four concept datasets, we find that concept-discriminative…
…On-Policy Distillation with Control Variate Baseline Published on May 8 Submitted by Jongwon Lim on May 14 Seoul National University Authors: , , , Yunho Choi , Abstract On-Policy Distillation with control variate baseline…
…Consistent gains over LeWM across all 4 continuous-control benchmarks, with the largest improvements on low-intrinsic-dimensionality tasks. No dataset linking this paper Cite arxiv.org/abs/2605.09241 in a…
…In controlled transformer models trained from scratch, binding generalization emerges with sufficient data coverage. These models learn low-complexity binding function s characterized by multiplicative interactions between concepts, enabling systematic generalization . Code…
…No dataset linking this paper Cite arxiv.org/abs/2605.06638 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…mixed bi-modal SFT , mixed-modality RLVR , and SFT on self-distilled data. Balanced bi-modal SFT gives limited and uneven gains, RLVR provides the first broad improvement, and self-distillation reshapes…