AT\texttwosuperiorPO: Agentic Turn-based Policy Optimization via Tree Search (2026)
AT²PO is a reinforcement learning method for LLM agents that solve tasks over several turns, alternating reasoning with tool calls such as search.
Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning (2026)
Parallel reasoning lets an LLM explore several solution attempts at once and then merge them. In practice, the explorers and the merger are usually built separately. The explorers do not know what the aggregator needs, so useful intermediate evidence gets lost at the hand-off. Rhombus treats this hand-off as a…
Vector Calligrapher: Generating Scalable Vector Graphics via Structured Linguistic Supervision (2026)
Multimodal LLMs struggle to turn a textual style request into an SVG font glyph for two reasons. Free-form captions describe typographic style too loosely to control exact geometry. Generic tokenizers also split coordinate-heavy SVG markup into long token streams that carry little information each. Vector…

Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Updated 2 November 2026