When Should Agents Remember? Falsification-Gated Self-Evolution for LLM Agents

Runxuan Tang, Haoyu Gao, Yuyan Ding, Junyi Yao and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?

Tommaso Castellani, Jiaqi Li, Muriah D Wheelock, Rezwana R Razzaque and 3 more

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

Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making

Formalizing discretion as a dynamic budget problem yields time-dependent override thresholds and shape-dependent spending rates, with homelessness data showing budget-constrained discretionary patterns.

Gaurab Pokharel, Sanmay Das, Patrick J Fowler

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

Early Prediction of Future Behavioral Strategy from Process Traces

A process-level latent variable model predicts future behavioral strategy from partial cross-task process traces via transferable person-level representations. In PowerWash Simulator it predicts zone planner versus hopper behavior in held-out levels.

Robert Kasumba, Dennis Barbour, Chien-Ju Ho

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

Consilience for Verifier-Free Test-Time Scaling

Confidence-based verifier-free test-time scaling fails on complex tasks because high initial confidence signals no exploration; consilience selects rollouts by requiring low early but high final confidence, improving reasoning and coding.

Lecheng Kong, Like Hui, Haitao Mao, Luke Huan

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

G-Zero: Self-Play for Open-Ended Generation from Zero Data

G-Zero uses intrinsic predictive-shift rewards in a verifier-free co-evolutionary framework that enables continuous LLM self-improvement across open-ended unverifiable domains without external judges.

Chengsong Huang, Haolin Liu, Tong Zheng, Runpeng(Leo) Dai and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 17 on Hugging Face · Code ★ 30

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories

RLVR weight updates are near rank-1 and predictable, so RELEX extrapolates them via linear regression to match full training with only 15% of steps.

Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Chengsong Huang and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 50 on Hugging Face · Code ★ 16