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11.5k
| Title
stringlengths 10
179
| Average Score
float64 1
10
| Standard Deviation
float64 0
4.06
| Individual Scores
stringlengths 3
23
| Author-defined Area
stringclasses 21
values | Decision
stringclasses 4
values |
|---|---|---|---|---|---|---|
1
|
Safety Alignment Should be Made More Than Just a Few Tokens Deep
| 9.5
| 0.866025
|
10;8;10;10
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
2
|
Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
| 9.2
| 0.979796
|
8;10;8;10;10
|
generative models
|
ICLR 2025
|
3
|
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
| 9
| 1
|
8;10;8;10
|
interpretability and explainable AI
|
ICLR 2025
|
4
|
ARTIFICIAL KURAMOTO OSCILLATORY NEURONS
| 9
| 1
|
10;10;8;8
|
unsupervised, self-supervised, semi-supervised, and supervised representation learning
|
ICLR 2025
|
5
|
SAM 2: Segment Anything in Images and Videos
| 9
| 1
|
10;8;8;10
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
6
|
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
| 9
| 1
|
10;8;8;10;8;10
|
generative models
|
ICLR 2025
|
7
|
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
| 9
| 1
|
10;10;8;8
|
datasets and benchmarks
|
ICLR 2025
|
8
|
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
| 9
| 1
|
10;10;8;8
|
transfer learning, meta learning, and lifelong learning
|
ICLR 2025
|
9
|
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
| 8.666667
| 0.942809
|
10;8;8
|
datasets and benchmarks
|
ICLR 2025
|
10
|
OLMoE: Open Mixture-of-Experts Language Models
| 8.666667
| 0.942809
|
10;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
11
|
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
| 8.666667
| 0.942809
|
8;8;10
|
optimization
|
ICLR 2025
|
12
|
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
| 8.666667
| 0.942809
|
8;8;10
|
applications to physical sciences (physics, chemistry, biology, etc.)
|
ICLR 2025
|
13
|
Transformers Provably Solve Parity Efficiently with Chain of Thought
| 8.666667
| 0.942809
|
8;8;10
|
learning theory
|
ICLR 2025
|
14
|
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
| 8.666667
| 0.942809
|
8;8;10
|
generative models
|
ICLR 2025
|
15
|
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
| 8.5
| 1.658312
|
6;10;10;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
16
|
Cut Your Losses in Large-Vocabulary Language Models
| 8.5
| 1.658312
|
10;8;6;10
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
17
|
SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers
| 8.5
| 0.866025
|
8;8;8;10
|
generative models
|
ICLR 2025
|
18
|
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation
| 8.5
| 0.866025
|
8;8;8;10
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025 conditionalonethicsreview
|
19
|
Scaling and evaluating sparse autoencoders
| 8.2
| 2.712932
|
10;8;10;10;3
|
interpretability and explainable AI
|
ICLR 2025
|
20
|
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
| 8
| 0
|
8;8;8;8
|
reinforcement learning
|
ICLR 2025
|
21
|
MAP: Multi-Human-Value Alignment Palette
| 8
| 0
|
8;8;8
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
22
|
Scaling Laws for Precision
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
23
|
Comparing noisy neural population dynamics using optimal transport distances
| 8
| 0
|
8;8;8
|
applications to neuroscience & cognitive science
|
ICLR 2025
|
24
|
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
| 8
| 0
|
8;8;8;8;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
25
|
Feedback Favors the Generalization of Neural ODEs
| 8
| 0
|
8;8;8;8
|
learning on time series and dynamical systems
|
ICLR 2025
|
26
|
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
| 8
| 0
|
8;8;8;8
|
reinforcement learning
|
ICLR 2025
|
27
|
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
| 8
| 0
|
8;8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
28
|
Self-Improvement in Language Models: The Sharpening Mechanism
| 8
| 0
|
8;8;8;8
|
learning theory
|
ICLR 2025
|
29
|
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
| 8
| 1.414214
|
8;10;6;8
|
causal reasoning
|
ICLR 2025
|
30
|
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
| 8
| 1.414214
|
8;6;10;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
31
|
When Selection meets Intervention: Additional Complexities in Causal Discovery
| 8
| 0
|
8;8;8;8;8
|
causal reasoning
|
ICLR 2025
|
32
|
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
| 8
| 1.414214
|
6;8;8;10
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
33
|
MLE-Bench: Evaluating Machine Learning Agents on Machine Learning Engineering
| 8
| 1.414214
|
6;10;8;8
|
datasets and benchmarks
|
ICLR 2025
|
34
|
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
| 8
| 0
|
8;8;8;8
|
interpretability and explainable AI
|
ICLR 2025
|
35
|
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
| 8
| 0
|
8;8;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
36
|
AlphaEdit: Null-Space Constrained Model Editing for Language Models
| 8
| 0
|
8;8;8;8
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
37
|
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
| 8
| 1.414214
|
6;10;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
38
|
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
| 8
| 0
|
8;8;8;8
|
other topics in machine learning (i.e., none of the above)
|
ICLR 2025
|
39
|
Strong Model Collapse
| 8
| 0
|
8;8;8
|
learning theory
|
Rejected
|
40
|
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
| 8
| 1.414214
|
8;6;10;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
41
|
Influence Functions for Scalable Data Attribution in Diffusion Models
| 8
| 1.632993
|
10;8;6
|
interpretability and explainable AI
|
ICLR 2025
|
42
|
Training on the Test Task Confounds Evaluation and Emergence
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
43
|
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
| 8
| 0
|
8;8;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
44
|
Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
| 8
| 0
|
8;8;8;8;8
|
interpretability and explainable AI
|
ICLR 2025
|
45
|
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
| 8
| 0
|
8;8;8;8
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
46
|
Instant Policy: In-Context Imitation Learning via Graph Diffusion
| 8
| 0
|
8;8;8;8
|
applications to robotics, autonomy, planning
|
ICLR 2025
|
47
|
Rethinking Reward Modeling in Preference-based Large Language Model Alignment
| 8
| 0
|
8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
48
|
miniCTX: Neural Theorem Proving with (Long-)Contexts
| 8
| 0
|
8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
49
|
MoDeGPT: Modular Decomposition for Large Language Model Compression
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
50
|
Data Selection via Optimal Control for Language Models
| 8
| 1.264911
|
10;6;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
51
|
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
| 8
| 1.632993
|
6;10;8
|
applications to physical sciences (physics, chemistry, biology, etc.)
|
ICLR 2025
|
52
|
Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency
| 8
| 0
|
8;8;8;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025 conditionalonethicsreview
|
53
|
Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression
| 8
| 0
|
8;8;8
|
optimization
|
ICLR 2025
|
54
|
Learning to Discretize Denoising Diffusion ODEs
| 8
| 0
|
8;8;8
|
generative models
|
ICLR 2025
|
55
|
Learning and aligning single-neuron invariance manifolds in visual cortex
| 8
| 0
|
8;8;8;8
|
applications to neuroscience & cognitive science
|
ICLR 2025
|
56
|
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
57
|
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
| 8
| 0
|
8;8;8;8
|
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)
|
ICLR 2025
|
58
|
A Decade's Battle on Dataset Bias: Are We There Yet?
| 8
| 0
|
8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
59
|
Latent Bayesian Optimization via Autoregressive Normalizing Flows
| 8
| 0
|
8;8;8;8
|
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)
|
ICLR 2025
|
60
|
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
| 8
| 0
|
8;8;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
61
|
Invariant Graphon Networks: Approximation and Cut Distance
| 8
| 0
|
8;8;8;8;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
62
|
REEF: Representation Encoding Fingerprints for Large Language Models
| 8
| 1.414214
|
8;6;8;10
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
63
|
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
| 8
| 2
|
6;10;6;10
|
alignment, fairness, safety, privacy, and societal considerations
|
ICLR 2025
|
64
|
Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality
| 8
| 0
|
8;8;8;8;8
|
learning theory
|
ICLR 2025
|
65
|
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
| 8
| 0
|
8;8;8;8
|
applications to physical sciences (physics, chemistry, biology, etc.)
|
ICLR 2025
|
66
|
CAX: Cellular Automata Accelerated in JAX
| 8
| 0
|
8;8;8;8
|
infrastructure, software libraries, hardware, systems, etc.
|
ICLR 2025
|
67
|
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
| 8
| 0
|
8;8;8;8
|
applications to physical sciences (physics, chemistry, biology, etc.)
|
ICLR 2025
|
68
|
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
| 8
| 0
|
8;8;8
|
transfer learning, meta learning, and lifelong learning
|
ICLR 2025
|
69
|
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
| 8
| 0
|
8;8;8
|
other topics in machine learning (i.e., none of the above)
|
ICLR 2025
|
70
|
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
| 8
| 0
|
8;8;8
|
other topics in machine learning (i.e., none of the above)
|
ICLR 2025
|
71
|
An Investigation of Conformal Isometry Hypothesis for Grid Cells
| 8
| 0
|
8;8;8;8
|
unsupervised, self-supervised, semi-supervised, and supervised representation learning
|
ICLR 2025
|
72
|
Compositional Entailment Learning for Hyperbolic Vision-Language Models
| 8
| 0
|
8;8;8;8
|
unsupervised, self-supervised, semi-supervised, and supervised representation learning
|
ICLR 2025
|
73
|
Spider 2.0: Can Language Models Resolve Real-World Enterprise Text-to-SQL Workflows?
| 8
| 0
|
8;8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
74
|
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
75
|
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
| 8
| 1.414214
|
8;10;6;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
76
|
Generator Matching: Generative modeling with arbitrary Markov processes
| 8
| 0
|
8;8;8;8
|
generative models
|
ICLR 2025
|
77
|
On the Hölder Stability of Multiset and Graph Neural Networks
| 8
| 0
|
8;8;8;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
78
|
RB-Modulation: Training-Free Personalization using Stochastic Optimal Control
| 8
| 1.414214
|
8;6;8;10
|
generative models
|
ICLR 2025
|
79
|
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
| 8
| 0
|
8;8;8;8
|
generative models
|
ICLR 2025
|
80
|
Towards a Complete Logical Framework for GNN Expressiveness
| 8
| 0
|
8;8;8
|
learning on graphs and other geometries & topologies
|
ICLR 2025
|
81
|
Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity
| 8
| 0
|
8;8;8;8
|
optimization
|
ICLR 2025
|
82
|
One Step Diffusion via Shortcut Models
| 8
| 0
|
8;8;8;8
|
generative models
|
ICLR 2025
|
83
|
Differential Transformer
| 8
| 0
|
8;8;8;8
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
84
|
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
| 8
| 0
|
8;8;8
|
applications to computer vision, audio, language, and other modalities
|
ICLR 2025
|
85
|
On the Identification of Temporal Causal Representation with Instantaneous Dependence
| 8
| 0
|
8;8;8
|
unsupervised, self-supervised, semi-supervised, and supervised representation learning
|
ICLR 2025
|
86
|
Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
| 8
| 0
|
8;8;8
|
applications to neuroscience & cognitive science
|
ICLR 2025
|
87
|
Unlearning-based Neural Interpretations
| 8
| 1.414214
|
6;8;10;8
|
interpretability and explainable AI
|
ICLR 2025
|
88
|
On Scaling Up 3D Gaussian Splatting Training
| 8
| 0
|
8;8;8;8
|
infrastructure, software libraries, hardware, systems, etc.
|
ICLR 2025
|
89
|
Variational Diffusion Posterior Sampling with Midpoint Guidance
| 8
| 0
|
8;8;8;8
|
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)
|
ICLR 2025
|
90
|
Data Scaling Laws in Imitation Learning for Robotic Manipulation
| 8
| 0
|
8;8;8;8
|
applications to robotics, autonomy, planning
|
ICLR 2025
|
91
|
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
| 8
| 0
|
8;8;8;8
|
datasets and benchmarks
|
ICLR 2025 conditionalonethicsreview
|
92
|
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
| 8
| 0
|
8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
93
|
TopoLM: brain-like spatio-functional organization in a topographic language model
| 8
| 0
|
8;8;8
|
applications to neuroscience & cognitive science
|
ICLR 2025
|
94
|
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
| 8
| 0
|
8;8;8;8
|
learning theory
|
ICLR 2025
|
95
|
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
| 8
| 0
|
8;8;8;8
|
unsupervised, self-supervised, semi-supervised, and supervised representation learning
|
ICLR 2025
|
96
|
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
| 8
| 1.264911
|
8;10;6;8;8
|
applications to physical sciences (physics, chemistry, biology, etc.)
|
ICLR 2025
|
97
|
Interpolating Autoregressive and Discrete Denoising Diffusion Language Models
| 8
| 0
|
8;8;8;8
|
generative models
|
ICLR 2025
|
98
|
Restructuring Vector Quantization with the Rotation Trick
| 8
| 0
|
8;8;8;8
|
generative models
|
ICLR 2025
|
99
|
MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions
| 8
| 0
|
8;8;8
|
datasets and benchmarks
|
ICLR 2025
|
100
|
Learning Dynamics of LLM Finetuning
| 8
| 1.414214
|
6;8;8;10
|
foundation or frontier models, including LLMs
|
ICLR 2025
|
End of preview. Expand
in Data Studio
Paper Decision Results for ICLR 2025
ICLR 2025 Accepted Paper List
https://openreview.net/group?id=ICLR.cc/2025/Conference#tab-accept
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