LatentPort demonstrates cross-model transfer of a language model’s live recurrent inference state to a differently-sized sibling model without the receiver…
Ovis-Embedding is an omni-modal embedding model family built on a shared multimodal backbone that natively encodes text, image, video, and…
X-Planner is a planning front-end for Vision-Language-Action systems that makes long-horizon task planning explicit, combining teleoperation data at varying annotation…
RULER introduces instance-aware rubric rewards for training SVG-generation models with reinforcement learning, replacing scalar image-quality metrics that transfer poorly to…
MemoryAthena studies whether agent memory can be usefully generated rather than only retrieved, combining direct retrieval from an explicit memory…
Introduces Neural Spectral Capacity (NSC), a closed-form scalar derived from the singular-value spectrum of a network’s weight matrices that scores…
Proposes a training-free transformer compression framework that sequentially optimizes cross-layer weight pairings and shared-dictionary factorizations instead of compressing layers in…
Formulates three regularity conditions (Completeness, Prefix Consistency, Neutrality) that uniquely define token-level credit in RL for LLM post-training, providing a…
Introduces Knowledge Pull Requests (KPRs), a framework for continually revising documents as new knowledge emerges by extracting claims, filtering and…
Presents Hunyuan-A13B, an open-source Mixture-of-Experts LLM with 80B total parameters but only 13B activated per inference, pretrained on a 20T-token…
Proposes JitMem, an agentic memory system that defers curation from write time to read time: instead of distilling a fixed,…
Introduces WhatWorkedBench, a benchmark measuring whether AI research agents can accurately predict how experimental component changes affect outcomes after budgeted…
