PocketVE: Stable and Controllable Structure-Based Drug Design with Variance-Exploding Diffusion

Peining Zhang, Jinbo Bi

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

Guochen Zhou, Yijun Yang, Qiqi Duan, Qing Su and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective

Retrieval-augmented generation is framed as in-context optimization via linear self-attention gradient descent, yielding a frozen-model forward-only interface update that improves QA with low per-query cost.

mingchen li, Jiatan Huang, Chuxu Zhang, Liang Zhao and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization

PACZero sign-quantizes zeroth-order gradients to achieve zero mutual information fine-tuning with near-baseline accuracy on language models.

Murat Bilgehan Ertan, Xiaochen Zhu, Ha Nguyen, Marten van Dijk and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents

RICE-PO turns retrieval interactions into localized credit signals to train reasoning agents, outperforming RL baselines on BRIGHT and BEIR.

mingchen li, Hansi Zeng, Zhuo Qian, Jiatan Huang and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning

Low-rank adaptation regularizes critic learning by constraining updates to low-dimensional subspaces via frozen base weights, reducing loss and improving off-policy RL performance.

Yuan Zhuang, Yuexin Bian, Sihong He, Jie Feng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning

MAGIC-Video unifies episodic, semantic, and visual content via a multimodal memory graph and narrative chain for agentic ultra-long video reasoning, outperforming prior agentic systems by up to 10.1 points.

Jiazheng Li, Chi-Hao Wu, Yunze Liu, Kaize Ding and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026