Good Papers

Showing papers from University of Maryland Show all papers

45%Niche pick
?Niche pickVote to see the score

Language Models Need Sleep

Sangyun Lee, Sean McLeish, Tom Goldstein, Giulia Fanti

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Diversity Maximization: Algorithms for Distant $k$-Subsets

Shayan C Jahan, Hamed Abdi, Ali Ahmadi, Javier Marinković and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

MPQ: A Message-Passing View of Post-Training Quantization

Yanshuo Chen, chenxi liu, Reza Shirkavand, Heng Huang

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

MotorSense: A Video-EMG Dataset of Motoric Representations for Action Understanding

Eadom T Dessalene, Michael Maynord, Amir Hossein Shahidzadeh, Botao He and 5 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive

Arka Pal, Kwok C Au, Louai Zahran, Rahul K Thomas and 3 more

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

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 0/5
medium 1/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score

Efficient Dynamic Algorithms for Graph Neural Networks with Non-Linearity

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Silvio Lattanzi and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Finite-Sample and Communication-Efficient Networked Information Aggregation

Mohammadhossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Submodular Clustering beyond $1-1/e$

Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari, Samira Goudarzi and 1 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score

Simultaneous Individual, Group and Multigroup Fairness in Set Covering Problems

Sharmila Duppala, Nathaniel Grammel, Tyler He, Aravind Srinivasan

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
80%Must read
?Must readVote to see the score

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

IDEAL aligns discrete visual tokens with shallow and deep vision features to preserve both semantics and fine details, achieving 0.61 rFID and 1.89 gFID.

Yitong Chen, Zijie Diao, Junke Wang, Lingyu Kong and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 6

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
71%Highly rated
?Highly ratedVote to see the score

Shared Modular Recurrence in Contextual MDPs for Universal Morphology Control

A transformer with shared modular recurrence recovers partial contextual features via modular interactions, substantially improving zero-shot generalization to unseen robot dynamics, kinematics, and topologies.

Laurens Engwegen, Max Weltevrede, Caroline Horsch, Daan Brinks and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5
83%Must read
?Must readVote to see the score

FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-Reuse

FlowBank optimizes LLM agent workflows via a precomputed diverse portfolio selected per query, outperforming baselines by up to 14.92% at competitive cost.

Lingzhi Yuan, Chenghao Deng, Fangxu Yu, Souradip Chakraborty and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5