ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 11864 (61%) 4.36
10-30% 3952 (20%) 4.14
30-50% 1846 (9%) 3.93
50-70% 1026 (5%) 3.75
70-90% 494 (3%) 3.39
90-100% 199 (1%) 2.90
Total 19490 (100%) 4.20
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction A central goal in systems biology and drug discovery is to predict the transcriptional response of cells to perturbations. This task is challenging due to the noisy, sparse nature of single-cell measu... 4.00 52% See Reviews View AI Dashboard
Rectifying Adaptive Learning Rate Variance via Confidence Estimation Recent advances in training physics-informed neural networks (PINNs) highlight the effectiveness of second-order optimization methods. Adaptive variants such as AdaHessian, Sophia, and SOAP leverage a... 4.00 36% See Reviews View AI Dashboard
Beyond Neural Incompatibility: Easing Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment Large Language Models (LLMs) encode vast amounts of knowledge in their massive parameters, which is accessible to locate, trace, and analyze. Despite advances in neural interpretability, it is still n... 3.33 5% See Reviews View AI Dashboard
When Empowerment Disempowers Empowerment, a measure of an agent's ability to control its environment, has been proposed as a universal goal-agnostic objective for motivating assistive behavior in AI agents. While multi-human sett... 3.00 0% See Reviews View AI Dashboard
Revisit What You See: Disclose Language Prior in Vision Tokens for LVLM Decoding Large Vision–Language Models (LVLMs) achieve strong performance across multimodal tasks by integrating visual perception with language understanding. However, how vision information contributes to th... 2.67 9% See Reviews View AI Dashboard
PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models While reinforcement learning has advanced the alignment of text-to-image (T2I) models, state-of-the-art policy gradient methods are still hampered by training instability and high variance, hindering ... 5.50 6% See Reviews View AI Dashboard
Modular Multimodal Alignment using Time-Series EHR Data for Enhancing Medical Image Classification State-of-the-Art (SOTA) medical image classification models are generally pre-trained with large-scale data via self-supervised learning frameworks, to obtain high-quality image representations for ra... 1.50 41% See Reviews View AI Dashboard
SparCas: A Dimension-First Cascade for Efficient Long-Context LLM Inference Large language models (LLMs) have demonstrated strong capability in handling long-context sequences, but inference efficiency is bottlenecked by the continuously growing KV cache. KV cache selection m... 3.50 55% See Reviews View AI Dashboard
Randomization Boosts KV Caching, Learning Balances Query Load: A Joint Perspective KV caching is a fundamental technique for accelerating Large Language Model (LLM) inference by reusing key-value (KV) pairs from previous queries, but its effectiveness under limited memory is highly ... 6.50 0% See Reviews View AI Dashboard
Dreamland: Hybrid World Creation with Simulator and Generative Models Large-scale video generative models can synthesize diverse and realistic visual content for dynamic world creation, but they often lack element-wise controllability, hindering their use in editing sce... 5.00 0% See Reviews View AI Dashboard
OAR: Training Quantization-Friendly Object Detectors via Outlier-Aware Restriction Model quantization is widely employed to reduce computational resource usage during inference, often in conjunction with specialized hardware system for acceleration. While modern object detectors per... 2.00 0% See Reviews View AI Dashboard
COIG-Writer: A High-Quality Chinese Creative Writing with Thought Process Dataset Large language models exhibit systematic deficiencies in creative writing, particularly in non-English contexts where training data is scarce and lacks process-level supervision. We present COIG-Write... 3.00 95% See Reviews View AI Dashboard
Prior-based 4D Human-Scene Reconstruction from Monocular Videos Accurately capturing dynamic humans as they interact with their 3D environment from a single camera is a pivotal goal for applications spanning from assistive robotics to AR. However, current monocula... 3.50 13% See Reviews View AI Dashboard
A solvable model of inference-time scaling Recent developments in large language models have shown advantages in reallocating a notable share of computational resource from training time to inference time. However, the principles behind infere... 3.00 0% See Reviews View AI Dashboard
On Universality of Deep Equivariant Networks Universality results for equivariant neural networks remain rare. Those that do exist typically hold only in restrictive settings: either they rely on regular or higher-order tensor representations, l... 5.00 1% See Reviews View AI Dashboard
Proximal Diffusion Neural Sampler The task of learning a diffusion-based neural sampler for drawing samples from an unnormalized target distribution can be viewed as a stochastic optimal control problem on path measures. However, the ... 6.50 0% See Reviews View AI Dashboard
GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models Prompt-based continual learning (CL) provides a parameter-efficient approach for adapting large language models (LLMs) across task sequences. However, most existing methods rely on task-aware inferenc... 3.00 27% See Reviews View AI Dashboard
Learning Mutation-Aware Visual Context for Antibody-Antigen Affinity Maturation Prediction Modeling the impact of amino acid mutations on antibody–antigen binding affinity is critical for therapeutic antibody design. Existing structure-based deep learning approaches can capture structural d... 3.33 54% See Reviews View AI Dashboard
DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS Knowledge Graph Question Answering (KGQA) aims to interpret natural language queries and perform structured reasoning over knowledge graphs by leveraging their relational and semantic structures to re... 6.00 61% See Reviews View AI Dashboard
Lifelong Unlearning for Multimodal Large Language Models Multimodal large language models (MLLMs) are trained on massive multimodal data, making data unlearning increasingly important as data owners may request the removal of specific content. In practice, ... 4.00 0% See Reviews View AI Dashboard
When Small Models Team Up: A Weak‑Expert Ensemble Surpassing LLMs for Automated Intellectual‑Property Audits Intellectual Property Rights (IPR) enforcement on e-commerce platforms is increasingly challenged by the scale and complexity of modern online marketplaces, where counterfeit goods and brand infringem... 3.00 50% See Reviews View AI Dashboard
Beyond 'Templates': Category-Agnostic Object Pose, Size, and Shape Estimation from a Single View Estimating an object’s 6D pose, size, and shape from visual input is a fundamental problem in computer vision, with critical applications in robotic grasping and manipulation. Existing methods either ... 5.00 27% See Reviews View AI Dashboard
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine Multimodal language models (MLMs) show promise for clinical decision support and diagnostic reasoning, raising the prospect of end-to-end automated medical image interpretation. However, clinicians ar... 3.20 11% See Reviews View AI Dashboard
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? Code performance optimization is paramount in real-world software engineering and critical for production-level systems. While Large Language Models (LLMs) have demonstrated impressive capabilities in... 4.00 1% See Reviews View AI Dashboard
MeInTime: Bridging Age Gap in Identity-Preserving Face Restoration To better preserve an individual's identity, face restoration has evolved from reference-free to reference-based approaches, which leverage high-quality reference images of the same identity to enhanc... 5.00 0% See Reviews View AI Dashboard
From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs Deploying models, especially large language models (LLMs), is becoming increasingly attractive to a broader user base, including those without specialized expertise. However, due to the resource const... 4.00 24% See Reviews View AI Dashboard
Expressive Value Learning for Scalable Offline Reinforcement Learning Reinforcement learning (RL) is a powerful paradigm for learning to make sequences of decisions. However, RL has yet to be fully leveraged in robotics, principally due to its lack of scalability. Offli... 5.00 0% See Reviews View AI Dashboard
BIRD: Behavior Induction via Representation-structure Distillation Human-aligned deep learning models exhibit behaviors consistent with human values, such as robustness, safety, and fairness. Transferring these behavioral properties to models trained on different ta... 5.00 27% See Reviews View AI Dashboard
Dchi-Stencil: A Differential Privacy Mechanism for Interacting with LLMs The use of language models as remote services requires transmitting private information to external providers, raising significant privacy concerns. This process not only risks exposing sensitive dat... 4.00 6% See Reviews View AI Dashboard
Cooperative TD Learning in Heterogeneous Environments via Joint Linear Approximation We study cooperative temporal-difference (TD) learning with heterogeneous agents, where a collection of agents interacts with heterogeneous environments, yet tries to accelerate learning via seeking c... 3.50 0% See Reviews View AI Dashboard
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization Deep learning models often struggle to maintain performance when deployed on data distributions different from their training data, particularly in real-world applications where environmental conditio... 2.00 37% See Reviews View AI Dashboard
Sparse-Compression Diffusion Models Diffusion models have demonstrated capabilities in successful generating synthetic data, especially the pictural ones. However, the conventional reverse diffusion process merely overfits in data denoi... 3.00 48% See Reviews View AI Dashboard
PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference Amortized simulator-based inference offers a powerful framework for tackling Bayesian inference in computational fields such as engineering or neuroscience, increasingly leveraging modern generative m... 6.80 11% See Reviews View AI Dashboard
A Comprehensive Benchmark for RNA 3D Structure-Function Modeling The relationship between RNA structure and function has recently attracted interest within the deep learning community, a trend expected to intensify as nucleic acid structure models advance. Despite ... 2.50 0% See Reviews View AI Dashboard
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity Recently, considerable progress has been made in all-in-one image restoration. Generally, existing methods can be degradation-agnostic or degradation-aware. However, the former are limited in leveragi... 6.00 0% See Reviews View AI Dashboard
Test-time scaling of diffusions with flow maps A common recipe to improve diffusion models at test-time so that samples score highly against a user-specified reward is to introduce the gradient of the reward into the dynamics of the diffusion itse... 5.00 0% See Reviews View AI Dashboard
Background Blurring Matters: Improving Visual Grounding by Merging Text-Irrelevant Tokens Visual grounding (VG) aims to precisely localize the object in input images based on its natural language descriptions. Most recently proposed methods deal with this task with transformer-based archit... 4.67 3% See Reviews View AI Dashboard
Beyond Identity: High-Fidelity Face Swapping by Preserving Source Video Attributes Video face swapping is crucial in film and entertainment production, where achieving high fidelity and temporal consistency over long and complex video sequences remains a significant challenge. ... 3.50 24% See Reviews View AI Dashboard
A Dual-Branch Feature Fusion Framework based on GenAI for Robust Detection of Medical CT Image Tampering CT images are a critical diagnostic tool in modern medicine, yet they face risks to image authenticity posed by diverse image tampering techniques, which could disrupt the normal medical order and the... 2.50 77% See Reviews View AI Dashboard
Neural Theorem Proving for Verification Conditions: A Real-World Benchmark Theorem proving is fundamental to program verification, where the automated proof of Verification Conditions (VCs) remains a primary bottleneck. Real-world program verification frequently encounters h... 5.50 5% See Reviews View AI Dashboard
The Three Regimes of Offline-to-Online Reinforcement Learning Offline-to-online reinforcement learning (RL) has emerged as a practical paradigm that leverages offline datasets for pretraining and online interactions for fine-tuning. However, its empirical behavi... 5.00 12% See Reviews View AI Dashboard
DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning Few-shot learning (FSL) aims to generalize to novel categories with only a few samples. Recent approaches incorporate large language models (LLMs) to enrich visual representations with semantic embedd... 4.67 18% See Reviews View AI Dashboard
AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining Formulaic alpha factor mining (FAFM) is a central problem in quantitative investment, where interpretable formulas are designed to extract predictive signals from historical financial series. With the... 6.00 1% See Reviews View AI Dashboard
Agent-Chained Policy Optimization We study Cooperative Multi-Agent Reinforcement Learning (MARL), where the aim is to train decentralized policies that maximize a shared return. Existing methods typically employ either iterative best-... 3.00 2% See Reviews View AI Dashboard
Implicit Reconstruct Spatiotemporal Super-Resolution Microscopy in Arbitrary Dimension High-resolution 4D fluorescence microscopy imaging, essential for deciphering dynamic biological processes, is typically challenged by insufficient spatiotemporal resolutions. Phototoxicity, photoblea... 5.00 6% See Reviews View AI Dashboard
DiaBlo: Diagonal Blocks Are Sufficient For Finetuning Fine-tuning is a critical step for adapting large language models (LLMs) to domain-specific downstream tasks. To mitigate the substantial computational and memory costs of full-model fine-tuning, Para... 5.50 24% See Reviews View AI Dashboard
SimPlex-GT: A Simple Node-to-Cluster Graph Transformer for synergizing homophily and heterophily in Complex Graphs Graph neural networks (GNNs) have proven effective on homophilic graphs, where connected nodes share similar features. However, real-world graphs often exhibit mixed patterns including heterophily, wh... 4.00 8% See Reviews View AI Dashboard
UTFC-DiffTracker: Short- and Long-Range Temporal Feature Consistency Diffusion for Underwater Object Tracking Underwater object tracking (UOT) plays a significant role in marine animal protection, underwater search and rescue, and maritime security, yet faces distinctive challenges including color distortion,... 4.00 64% See Reviews View AI Dashboard
Adaptive Multi-Prototype Grouping Alignment for Domain Adaptive 3D Detection 3D object detection is crucial for autonomous driving and robotics, but models often perform poorly when deployed in new environments due to domain shifts. While 3D unsupervised domain adaptation meth... 3.33 0% See Reviews View AI Dashboard
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos Training a team of agents from scratch in multi-agent reinforcement learning (MARL) is highly inefficient, much like asking beginners to play a symphony together without first practicing solo. Existin... 3.20 14% See Reviews View AI Dashboard
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