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Showing papers from University of Arizona Show all papers

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Optimizing Retraining Schedules via Learning Curves

Jin Sima, Changlong Wu, Ananth Grama, Wojciech Szpankowski

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

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57%Worth a look
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Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery

Mingfu Yan, Jiancheng Huang, HAIPENG LUO, Yi Huang 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Say the Same, Act Differently: Text-Orthogonal Action Subspaces in Reasoning Vision-Language-Action Models

Zihao Feng, Qingzhao Zhang, Chunyu Xia, Bo Yu and 2 more

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

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AI panel: 0 of 20 reviewers recommend it
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Treat Domain-Specific Languages as Design Variables in LLM Agents

Letian Li, Wenyuan Jiang, Xin Yang, Shuzhao Xie and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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$\epsilon$-Good Action Identification in Fixed-Budget Monte Carlo Tree Search

Yinan Li, Ngo Tuan Nguyen, Kwang-Sung Jun

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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86%Must read
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SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution

SWE Atlas benchmarks coding agents on codebase Q&A, test writing, and refactoring, finding frontier models lead but all struggle with edge cases and engineering quality.

Mohit Raghavendra, Soham Dan, Miguel Romero Calvo, Yannis He and 11 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
72%Highly rated
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Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization

SDBPG adaptively perturbs dual formulations to stabilize multipliers near lower-level stationary points, yielding first explicit sample-complexity guarantees for stochastic nonconvex simple bilevel optimization.

Mohammad Mahdi Ahmadi, Jincheng Cao, Aryan Mokhtari, Erfan Yazdandoost Hamedani

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

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
80%Must read
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MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM

MoBiQuant uses recursive residual quantization and token-aware routing to adapt weight precision per token, improving any-precision LLM inference speed and memory.

Dongwei Wang, Jinhee Kim, Seokho Han, Denis Gudovskiy and 7 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
92%Must read
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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

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19/20 AI panelreviewers recommend it

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 5/5