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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2026Pennsylvania StateZhejiangHuman-AI interaction

When Automated Vehicles Cannot Retaliate: Driver-Initiated Takeover Under Aggression in Mixed Traffic

Simulator study finds drivers initiate takeovers under sharp braking and high aggression because automated vehicles cannot retaliate to human drivers.

Haitao Chen, Yiqi Zhang

Published Sep 24, 2026 · 0 citations

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lenient 3/5
medium 3/10
strict 1/5
72%Highly rated
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Accident Analysis & Prevention 2026Pennsylvania StateZhejiangHuman-AI interaction

Mitigating driver confusion and aggression in mixed traffic: Effects of V2V communication and driving style

V2V communication and assertive automated vehicle driving styles reduce human driver confusion and aggression in mixed traffic interactions.

Haitao Chen, Yiqi Zhang

Published Jul 24, 2026 · 0 citations

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 2/5
57%Worth a look
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Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs

Sree Bhattacharyya, Samarth Khanna, Leona Chen, Lucas Craig and 2 more

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

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45%Niche pick
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Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation

Biao Xiang, Ali Eshragh, Yuexing Li, Kai Wang

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

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57%Worth a look
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HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?

Sobhan Lotfi, Ava Iranmanesh, Ali Iranmanesh, Liwei Jiang

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

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IncAgg: Efficient Memory-Enhanced Graph Learning via Incremental Aggregation

Xingyue Shi, Zhichao Hou, Jiahao Zhang, Suhang Wang and 3 more

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

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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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57%Worth a look
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CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs

Trong Khiem Tran, Long M Bui, Phi Le Nguyen, Mrinal K Sen and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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SASA: Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability

Seyed Arshan Dalili, Mehrdad Mahdavi

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

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Position: We Need Greater Transparency to Maintain Research Pipeline Reliability Despite GenAI

Hillmer Chona, Sourav Panda, Frank Ritter, Jonathan Dodge

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

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57%Worth a look
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A Constrained Bi-level Optimization Framework for Constrained Preference-Based Reinforcement Learning

Yue Mao, Siyuan Xu, Shicheng Liu, Minghui Zhu

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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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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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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Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?

Jiale Liu, Huajun Xi, Shaokun Zhang, Yifan Zeng and 5 more

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

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71%Highly rated
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Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics

A Sinkhorn-based dense associative memory for point-cloud measures uses spherical Hellinger-Kantorovich dynamics to retrieve patterns with exponential capacity and robust convergence.

Aratrika Mustafi, Soumya Mukherjee

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

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 1/5
72%Highly rated
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Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer

Regularized Muon induces a Hamiltonian probability gradient flow with mirror-descent structure, yielding exponential convergence under gradient dominance and mean-field propagation of chaos.

Aratrika Mustafi, Soumya Mukherjee, Bharath Sriperumbudur

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

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lenient 3/5
medium 3/10
strict 2/5
83%Must read
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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
88%Must read
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EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales

EVOCHAMBER enables training-free multi-agent test-time co-evolution across individual, team, and population scales via asymmetric cross-agent knowledge transfer, achieving up to 32% relative math gains and emergent specialization.

Yaolun Zhang, Tianyi Xu, Shengyu Dai, Zhenwen Shao and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 4

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
76%Highly rated
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ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory

ForecastCompass organizes forecasting experience into reusable predictive factors and calibration principles via adaptive memory, improving agentic forecasting accuracy and calibration.

Yurui Chang, Yongkang Du, Yuanpu Cao, Jinghui Chen and 1 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
74%Highly rated
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Inference Time Nash Alignment

Inference-time alignment via Nash equilibrium achieves lower-bound duality gaps and matches fine-tuned performance without parameter updates.

Hadi Hosseini, Debmalya Mandal, Duohan Zhang

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

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 6/10
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