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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 |
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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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