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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves

CurveBench introduces a 756-image benchmark for hierarchical containment reasoning over nested Jordan curves, showing top models achieve only 19% accuracy on hard cases.

Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian, Naser Talebizadeh Sardari

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 8 on Hugging Face · Code ★ 1

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

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature

NoiseCurve uses model curvature from public unlabeled data to improve cross-iteration noise correlation in DP-SGD, significantly boosting accuracy over DP-MF.

Xin Gu, Yingtai Xiao, Guanlin He, Jiamu Bai and 2 more

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

LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning Distillation

LARK selects reasoning trajectories by student learnability via a training-loss rate factor and chi-squared-regularized policy, improving reasoning distillation efficiency and generalization.

Tianrun Yu, Kaixiang Zhao, Chih-Chun Chen, Amanda Hughes and 4 more

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

Conditional Optimal Bridge for Riemannian Activation Steering

Cobras casts activation steering as a Riemannian Schrödinger Bridge to derive a principled, query-adaptive log-density-ratio objective that improves alignment and avoids out-of-distribution degradation.

Seyed Arshan Dalili, Ajay Narayanan Sridhar, Vijaykrishnan Narayanan, Mehrdad Mahdavi

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

Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing

Proposed correlation-aware contextual bandit algorithms use coupled and decoupled surrogate rewards to improve LLM routing efficiency and robustness.

Ajay Narayanan Sridhar, Ronak Singh, Mehrdad Mahdavi, Vijaykrishnan Narayanan

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

From Matrix Inversion to Constraints: Provably Tighter Confidence Regions for Importance Weights in Label Shift

Direct matrix constraints replace inversion for importance weights under label shift, yielding provably tighter finite-sample confidence regions and shorter intervals.

Mushan Li, Kihyun Han, Yanyuan Ma

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

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

MCP-Atlas benchmarks LLM tool-use on 1,000 real-server tasks, finding frontier models reach 82.2% pass rates but 63.3% of failures are cognitive.

Chaithanya Bandi, Razvan Dumitru, Ben Hertzberg, Divyansh Agarwal and 15 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face