Nebojsa Jojic
35 papers · 2009–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Nebojsa Jojic?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nikolay Malkin, Caleb Robinson, Anthony Ortiz
15 papers
· 2017–2024
· CVPR, ICLR, ACL
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Investigating Agency of LLMs in Human-AI Collaboration Tasks
EACL 2024
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
ICLR 2024
ThinkSum: Probabilistic reasoning over sets using large language models
ACL 2023
Coherence boosting: When your pretrained language model is not paying enough attention
ACL 2022
Diffusion Models as Plug-and-Play Priors
NeurIPS 2022
Resolving label uncertainty with implicit posterior models
UAI 2022
GPT Perdetry Test: Generating new meanings for new words
NAACL 2021
Multi-Label Learning From Single Positive Labels
CVPR 2021
Studying word order through iterative shuffling
EMNLP 2021
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Local Context Normalization: Revisiting Local Normalization
CVPR 2020
Mining self-similarity: Label super-resolution with epitomic representations
ECCV 2020
Label super-resolution networks
ICLR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019
Steering Output Style and Topic in Neural Response Generation
EMNLP 2017
8 papers whose co-authors appear nowhere else under this name
Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge
EACL 2026
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
NeurIPS 2023
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
CVPR 2017
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
NeurIPS 2016
A Comparative Framework for Preconditioned Lasso Algorithms
NeurIPS 2013
Efficient Ranking from Pairwise Comparisons
ICML 2013
Exact inference and learning for cumulative distribution functions on loopy graphs
NeurIPS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs
AISTATS 2010