Good Papers

Showing papers from The Pennsylvania State University Show all papers

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NeurIPS 2026Pennsylvania StateMicrosoft - Core AIThe Pennsylvania StatePenn StateLLM agents & planning

Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents

Yuanpu Cao, Saket Sathe, Hanyu Wang, Ziyi Yin and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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45%Niche pick
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NeurIPS 2026The Pennsylvania StatePenn StatePennsylvania StateMeta, transfer & few-shot learning

Uncertainty Aware SURE Transfer Learning for Classification Problems

Haoyue Li, Shubo Li, Runze Li

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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45%Niche pick
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NeurIPS 2026The Pennsylvania StateResearcherInstitute of Information SciencePennsylvania StateGame playing

Search-Tree Scaling in Parallel Monte Carlo Tree Search

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut T Kandemir

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026The Pennsylvania StatePennsylvania StateDeep RL

Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization

D³PO fixes multi-objective RL via decomposed per-objective updates, late preference weighting, and diversity regularization to recover dense Pareto fronts with one policy.

Tanmay Ambadkar, Sourav Panda, Shreyash Kale, Jonathan Dodge and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5
74%Highly rated
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NeurIPS 2026Pennsylvania StateThe Pennsylvania StateU PittsburghAmazonMicrosoftTest-time compute

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph

This paper formalizes test-time scaling as an optimizable multi-LLM collaboration graph and proposes Agent-REINFORCE to search compute-optimal architectures under budget constraints. Experiments show it outperforms baselines in efficiency and finds graphs balancing accuracy with latency.

Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao and 6 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5