A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
Yehudit Aperstein, Alexander Apartsin
https://openreview.net/forum?id=tmNAKpmSaF
#annotate #annotation #annotated
A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
Yehudit Aperstein, Alexander Apartsin
https://openreview.net/forum?id=tmNAKpmSaF
#annotate #annotation #annotated
Evaluating the evidence trace of NeurIPS 2025 contributions with agentic code auditing
Pascal Iversen, Ferdous Nasri, Bernhard Y Renard, Katharina Baum
https://openreview.net/forum?id=xjCJY8Xxcm
#auditing #reproducibility #auditowl
Evaluating the evidence trace of NeurIPS 2025 contributions with agentic code auditing
Pascal Iversen, Ferdous Nasri, Bernhard Y Renard, Katharina Baum
https://openreview.net/forum?id=xjCJY8Xxcm
#auditing #reproducibility #auditowl
Training-Free Modality-Agnostic Concept Sliders: Fine-Grained Control via Diffusion Models of Ima...
Rotem Ezra, Hedi Zisling, Nimrod Berman et al.
https://openreview.net/forum?id=m2hpORnHhF
#generative #modality #benchmark
Training-Free Modality-Agnostic Concept Sliders: Fine-Grained Control via Diffusion Models of Ima...
Rotem Ezra, Hedi Zisling, Nimrod Berman et al.
https://openreview.net/forum?id=m2hpORnHhF
#generative #modality #benchmark
Revisiting Deep Hybrid Models for Out-of-Distribution Detection
Paul-Ruben Schlumbom, Eibe Frank
https://openreview.net/forum?id=yeITEuhv4Q
#adversarial #detection #feature
Revisiting Deep Hybrid Models for Out-of-Distribution Detection
Paul-Ruben Schlumbom, Eibe Frank
https://openreview.net/forum?id=yeITEuhv4Q
#adversarial #detection #feature
A general framework of Riemannian adaptive optimization methods with a convergence analysis
Hiroyuki Sakai, Hideaki Iiduka
https://openreview.net/forum?id=knv4lQFVoE
#riemannian #optimization #submanifolds
A general framework of Riemannian adaptive optimization methods with a convergence analysis
Hiroyuki Sakai, Hideaki Iiduka
https://openreview.net/forum?id=knv4lQFVoE
#riemannian #optimization #submanifolds
Wavenumber-Resolved Spectral Gating for Diffusion Models of Two-Dimensional Turbulence
Nishat Tasnim, Yong Shi
https://openreview.net/forum?id=MhYd4okrNa
#turbulent #turbulence #reynolds
Wavenumber-Resolved Spectral Gating for Diffusion Models of Two-Dimensional Turbulence
Nishat Tasnim, Yong Shi
https://openreview.net/forum?id=MhYd4okrNa
#turbulent #turbulence #reynolds
Nomic Embed: Training a Reproducible Long Context Text Embedder
Zach Nussbaum, John Xavier Morris, Andriy Mulyar, Brandon Duderstadt
https://openreview.net/forum?id=IPmzyQSiQE
#embedder #embedding #embed
Nomic Embed: Training a Reproducible Long Context Text Embedder
Zach Nussbaum, John Xavier Morris, Andriy Mulyar, Brandon Duderstadt
https://openreview.net/forum?id=IPmzyQSiQE
#embedder #embedding #embed
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
https://openreview.net/forum?id=wcxrJcJ7vq
#gan #adversarial #gans
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
https://openreview.net/forum?id=wcxrJcJ7vq
#gan #adversarial #gans
[Re] Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
Oliver van Erven, Konstantinos Zafeirakis, Jacobus Smit, Julio Smidi, Luc Buijs
https://openreview.net/forum?id=EWWxSkUchO
#cooperation #agents #abstraction
[Re] Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
Oliver van Erven, Konstantinos Zafeirakis, Jacobus Smit, Julio Smidi, Luc Buijs
https://openreview.net/forum?id=EWWxSkUchO
#cooperation #agents #abstraction
Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study
Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde
https://openreview.net/forum?id=946cT3Jsq5
#autoencoder #bottleneck #deep
Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study
Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde
https://openreview.net/forum?id=946cT3Jsq5
#autoencoder #bottleneck #deep
Pitfalls in Evaluating Inference-time Methods for Improving LLM Reliability
Michael M. Jerge, David Evans
https://openreview.net/forum?id=xeGWsmqFS8
#reliable #reliability #evaluations
Pitfalls in Evaluating Inference-time Methods for Improving LLM Reliability
Michael M. Jerge, David Evans
https://openreview.net/forum?id=xeGWsmqFS8
#reliable #reliability #evaluations
Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup
Georgios Sidiropoulos, Samarth Bhargav, Panagiotis Eustratiadis, Evangelos Kanoulas
https://openreview.net/forum?id=wF3ZtSlOcT
#retrieval #corpora #similarity
Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup
Georgios Sidiropoulos, Samarth Bhargav, Panagiotis Eustratiadis, Evangelos Kanoulas
https://openreview.net/forum?id=wF3ZtSlOcT
#retrieval #corpora #similarity
BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions
Tao Yu, Zhengbo Zhang, Zhiheng Lyu et al.
https://openreview.net/forum?id=X4CfZPSEHE
#browseragent #agent #interactive
BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions
Tao Yu, Zhengbo Zhang, Zhiheng Lyu et al.
https://openreview.net/forum?id=X4CfZPSEHE
#browseragent #agent #interactive
Reconciling Kaplan and Chinchilla Scaling Laws
Tim Pearce, Jinyeop Song
https://openreview.net/forum?id=NLoaLyuUUF
#scaling #kaplan #scale
Reconciling Kaplan and Chinchilla Scaling Laws
Tim Pearce, Jinyeop Song
https://openreview.net/forum?id=NLoaLyuUUF
#scaling #kaplan #scale
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and...
Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss
https://openreview.net/forum?id=VCG6j3tcAA
#attention #counterfactuals
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and...
Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss
https://openreview.net/forum?id=VCG6j3tcAA
#attention #counterfactuals
Dynamics of the accelerated t-SNE
Kyoichi Iwasaki, Hideitsu Hino
https://openreview.net/forum?id=dfUebM9asV
#embedding #embeddings #visualizing
Dynamics of the accelerated t-SNE
Kyoichi Iwasaki, Hideitsu Hino
https://openreview.net/forum?id=dfUebM9asV
#embedding #embeddings #visualizing
Faithful Interpretation for Graph Neural Networks
Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
https://openreview.net/forum?id=Y8EspxaksH
#attention #graph #nodes
Faithful Interpretation for Graph Neural Networks
Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
https://openreview.net/forum?id=Y8EspxaksH
#attention #graph #nodes
NeoBERT: A Next Generation BERT
Lola Le Breton, Quentin Fournier, Mariam El Mezouar, Sarath Chandar
https://openreview.net/forum?id=TJRyDi7mwH
#bert #encoder #encoders
NeoBERT: A Next Generation BERT
Lola Le Breton, Quentin Fournier, Mariam El Mezouar, Sarath Chandar
https://openreview.net/forum?id=TJRyDi7mwH
#bert #encoder #encoders
Early Classification of Time Series: A Survey and Benchmark
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
https://openreview.net/forum?id=bcNDYmBicK
#classification #prediction #benchmark
Early Classification of Time Series: A Survey and Benchmark
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
https://openreview.net/forum?id=bcNDYmBicK
#classification #prediction #benchmark
Contextualized Messages Boost Graph Representations
Brian Godwin Lim, Galvin Brice Sy Lim, Renzo Roel Tan, Kazushi Ikeda
https://openreview.net/forum?id=sXr1fRjs1N
#graphs #representations #graph
Contextualized Messages Boost Graph Representations
Brian Godwin Lim, Galvin Brice Sy Lim, Renzo Roel Tan, Kazushi Ikeda
https://openreview.net/forum?id=sXr1fRjs1N
#graphs #representations #graph
[RE] GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Tyme Chatupanyachotikul, Leonard Horns, Matei Nastase
https://openreview.net/forum?id=zLfLTHOdZW
#gnnboundary #boundaries #graphs
[RE] GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Tyme Chatupanyachotikul, Leonard Horns, Matei Nastase
https://openreview.net/forum?id=zLfLTHOdZW
#gnnboundary #boundaries #graphs
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large...
Dante Campregher, Yanxu Chen, Sander Hoffman, Maria Heuss
https://openreview.net/forum?id=1QrB5WSWOR
#attention #counterfactual #interpretability
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large...
Dante Campregher, Yanxu Chen, Sander Hoffman, Maria Heuss
https://openreview.net/forum?id=1QrB5WSWOR
#attention #counterfactual #interpretability
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encod...
Billy Joe Franks, Moshe Eliasof, Semih Cantürk et al.
https://openreview.net/forum?id=mSoDRZXsqj
#graphs #graph #learned
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encod...
Billy Joe Franks, Moshe Eliasof, Semih Cantürk et al.
https://openreview.net/forum?id=mSoDRZXsqj
#graphs #graph #learned
Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextua...
Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi et al.
https://openreview.net/forum?id=l9rATNBB8Y
#privacy #prompting #assistants
Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextua...
Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi et al.
https://openreview.net/forum?id=l9rATNBB8Y
#privacy #prompting #assistants