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
Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging Fluorescence microscopy (FM) imaging is a fundamental technique for observing live cell division—one of the most essential processes in the cycle of life and death. Observing 3D live cells requires sc... 4.50 33% See Reviews View AI Dashboard
DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents Accurately modeling opinion change through social interactions is crucial for understanding and mitigating polarization, misinformation, and societal conflict. Recent work explores simulating opinion ... 4.00 10% See Reviews View AI Dashboard
Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams We study the problem of graph and hypergraph sparsification in insertion-only data streams. The input is a hypergraph $H=(V, E, w)$ with $n$ nodes, $m$ hyperedges, and rank $r$, and the goal is to com... 5.33 0% See Reviews View AI Dashboard
STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering Although dynamic scene reconstruction has long been a fundamental challenge in 3D vision, the recent emergence of 3D Gaussian Splatting (3DGS) offers a promising direction by enabling high-quality, re... 4.50 N/A See Reviews
DyCodeExplainer: Explainable Dynamic Graph Attention for Multi-Agent Reinforcement Learning in Collaborative Coding We propose \textbf{DyCodeExplainer}, a novel multi-agent reinforcement learning (MARL) framework that integrates dynamic graph attention with explainability techniques to improve collaborative coding.... 2.50 95% See Reviews View AI Dashboard
OpenPhase: Condition-Aware Exploration of Multicomponent Biosystem Phase-Separating Behavior Liquid-liquid phase separation (LLPS) is a fundamental biophysical process in which biomolecules, such as proteins, DNA and RNA, demix from solution to form distinct liquid phases. Crucial... 3.00 0% See Reviews View AI Dashboard
ARS Adaptive Reasoning Suppression for Efficient Large Reasoning Language Model Large Reasoning Language Models (LRLMs or LRMs) demonstrate remarkable capabilities in complex reasoning tasks, but suffer from significant computational inefficiencies due to overthinking phenomena. ... 0.00 62% See Reviews View AI Dashboard
MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them Hallucinations pose critical risks for large language model (LLM)-based agents, often manifesting as hallucinative actions resulting from fabricated or misinterpreted information within the cognitive ... 4.50 4% See Reviews View AI Dashboard
CoPatch: Zero-Shot Referring Image Segmentation by Leveraging Untapped Spatial Knowledge in CLIP Spatial grounding is crucial for referring image segmentation (RIS), where the goal of the task is to localize an object described by language. Current foundational vision-language models (VLMs), such... 4.00 0% See Reviews View AI Dashboard
Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging Model merging aims to integrate task-specific abilities from individually fine-tuned models into a single model without extra training. In recent model merging methods, task vector has become a fundam... 4.00 0% See Reviews View AI Dashboard
Context-Aware Autoregressive Models for Multi-Conditional Image Generation Controlling generative models with multiple, simultaneous conditions is a critical yet challenging frontier. Mainstream diffusion models, despite their success in single-condition synthesis, often exh... 3.00 29% See Reviews View AI Dashboard
Consistency Geodesic Bridge: Image Restoration with Pretrained Diffusion Models Bridge diffusion models have shown great promise in image restoration by constructing a direct path from degraded to clean images. However, they often rely on predefined, high-action trajectories, whi... 4.50 27% See Reviews View AI Dashboard
On the Expressive Power of Weight Quantization in Deep Neural Networks In recent years, weight quantization, which encodes the connection weights of neural networks in an $n$-bit format, has garnered significant attention due to its potential for model compression. Many ... 4.67 0% See Reviews View AI Dashboard
CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention Mechanisms The advent of Large Multimodal Models (LMMs) has significantly enhanced Large Language Models (LLMs) to process and interpret diverse data modalities (e.g., image and video). However, as input complex... 3.50 17% See Reviews View AI Dashboard
The Cell Must Go On: Agar.io for Continual Reinforcement Learning Continual reinforcement learning (RL) concerns agents that are expected to learn continually, rather than converge to a policy that is then fixed for evaluation. Such an approach is well suited to env... 4.00 0% See Reviews View AI Dashboard
Characterising Overprecision in Black-Box LLMs: A Cognitive Science Inspired Framework Overconfidence in large language models (LLMs) has attracted growing attention due to its implications for the reliability of model outputs. Most existing approaches study verbalized confidence, where... 3.50 23% See Reviews View AI Dashboard
Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World Open-domain table retrieval aims to retrieve semantically relevant structured tables from a large-scale corpus in response to natural language queries. Unlike unstructured text, tables store informati... 5.20 0% See Reviews View AI Dashboard
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge Knowledge Graphs (KGs) are structured knowledge repositories containing entities and relations between them. In this paper, we investigate the problem of automatically updating KGs over time with resp... 2.67 0% See Reviews View AI Dashboard
Value Drifts: Tracing Value Alignment During LLM Post-Training As LLMs occupy an increasingly important role in society, they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain ... 2.50 0% See Reviews View AI Dashboard
HOIGS: Human-Object Interaction Gaussian Splatting from Monocular Videos Reconstructing dynamic scenes with complex human–object interactions is a fundamental challenge in computer vision and graphics. Existing Gaussian Splatting methods either rely on human pose priors, n... 4.50 13% See Reviews View AI Dashboard
Optimal Regularization for Performative Learning In performative learning, the data distribution reacts to the deployed model—for example, because strategic users adapt their features to game it—which creates a more complex dynamic than in classical... 3.50 0% See Reviews View AI Dashboard
CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding Post-training quantization is an effective method for reducing the serving cost of large language models, and the standard approach is to use a round-to-nearest quantization level scheme. But this oft... 4.50 0% See Reviews View AI Dashboard
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling Samples of brain signals collected by EEG sensors have inherent anti-correlations that are well modeled by negative edges in a finite graph. To differentiate epilepsy patients from healthy subjects u... 5.50 5% See Reviews View AI Dashboard
AIF-Guided Diffusion Planning for Nonstationary Control We present AIF-guided diffusion planning for rapid, reward-free adaptation to abrupt, within-episode dynamics shifts in continuous control. Our controller couples Active Inference (AIF)—which maintain... 3.00 45% See Reviews View AI Dashboard
Zero-shot Forecasting by Simulation Alone Zero-shot time-series forecasting holds great promise, but is still in its infancy, hindered by limited and biased data corpora, leakage-prone evaluation, and privacy and licensing constraints. We pro... 5.00 8% See Reviews View AI Dashboard
APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning Scene Graph Generation (SGG) is pivotal for structured visual understanding, yet it remains hindered by a fundamental limitation: the reliance on fixed, frozen semantic representations from pre-traine... 5.00 46% See Reviews View AI Dashboard
Transitive RL: Value Learning via Divide and Conquer In this work, we present Transitive Reinforcement Learning (TRL), a new value learning algorithm based on a divide-and-conquer paradigm. TRL is designed for offline goal-conditioned reinforcement lear... 5.00 0% See Reviews View AI Dashboard
Measuring Sparse Autoencoder Feature Sensitivity Sparse Autoencoder (SAE) features have become essential tools for mechanistic interpretability research. SAE features are typically characterized by examining their activating examples, which are ofte... 3.50 0% See Reviews View AI Dashboard
Geo-Refine: Geometry–Appearance Synergy for Robust Single-Image 3D Scene Generation We introduce Geo-Refine, a single-image 3D scene generator that couples geometry–appearance preprocessing with a two-stage voxel–mesh localization pipeline to produce physically valid, visually comple... 3.50 94% See Reviews View AI Dashboard
Detecting Unknown Objects via Energy-based Separation for Open World Object Detection In this work, we tackle the problem of Open World Object Detection (OWOD). This challenging scenario requires the detector to incrementally learn to classify given known objects without forgetting whi... 4.50 0% See Reviews View AI Dashboard
Feedback-driven Behavioral Shaping for Safe Offline RL Learning safe policies in offline reinforcement learning (RL) requires access to a cost function, but dense annotations are rarely available. In practice, experts typically provide only sparse supervi... 2.50 82% See Reviews View AI Dashboard
Hybrid Models for Natural Language Reasoning: The Case of Syllogistic Logic Despite the remarkable progress in neural models, their ability to generalize—a cornerstone for applications like logical reasoning—remains a critical challenge. We delineate two fundamental aspects o... 4.00 6% See Reviews View AI Dashboard
Rapid Training of Hamiltonian Graph Networks Using Random Features Learning dynamical systems that respect physical symmetries and constraints remains a fundamental challenge in data-driven modeling. Integrating physical laws with graph neural networks facilitates pr... 5.50 0% See Reviews View AI Dashboard
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning With the rise of deep neural networks, especially in safety-critical applications, robustness and interpretability are crucial to ensure their trustworthiness. Recent advances in 3D-aware classifiers ... 6.00 0% See Reviews View AI Dashboard
Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window While recent advances in reasoning models have demonstrated cognitive behaviors through reinforcement learning, existing approaches struggle to invoke deep reasoning capabilities in multi-turn agents ... 4.00 27% See Reviews View AI Dashboard
PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION 3D object detection from LiDAR point cloud data is important for autonomous driving systems. Recent two-stage 3D object detectors struggle to achieve satisfactory performance due to limitations in pro... 4.67 5% See Reviews View AI Dashboard
Conv-CoA: Open-domain Question Answering via Conversational Chain-of-Action with Hopfield Retriever We present a Conversational Chain-of-Action (Conv-CoA) framework for Open-domain Conversational Question Answering (OCQA). Compared with literature, Conv-CoA addresses three major challenges: (i) unfa... 2.50 4% See Reviews View AI Dashboard
ResearchArcade: Graph Interface for Academic Tasks Academic research generates diverse data sources, and as researchers increasingly use machine learning to assist research tasks, a crucial question arises: Can we build a unified data interface to sup... 4.50 8% See Reviews View AI Dashboard
Trace Length is a Simple Uncertainty Signal in Reasoning Models Uncertainty quantification for LLMs is a key research direction towards addressing hallucination and other issues that limit their reliable deployment. In this work, we show that reasoning trace leng... 5.00 0% See Reviews View AI Dashboard
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming Mixed-Integer Linear Programming (MILP) is a foundational tool for complex decision-making problems. However, the NP-hard nature of MILP presents a significant computational challenge, motivating the... 5.20 12% See Reviews View AI Dashboard
Score Replacement with Bounded Deviation for Rare Prompt Generation Diffusion models achieve impressive performance in high-fidelity image generation but often struggle with rare concepts that appear infrequently in the training distribution. Prior work attempts to ad... 5.00 N/A See Reviews
Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models The multi-commodity flow (MCF) problem is a fundamental topic in network flow and combinatorial optimization, with broad applications in transportation, communication, and logistics, etc. Nowadays, th... 6.00 0% See Reviews View AI Dashboard
PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics Although many benchmarks evaluate the reasoning abilities of Large Language Models (LLMs) within domains such as mathematics, coding, or data wrangling, few abstract away from domain specifics to exam... 4.00 0% See Reviews View AI Dashboard
VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning Recent strides in multimodal large language models (MLLMs) have demonstrated significant progress in many reasoning tasks, but they still fail in Abstract Visual Reasoning (AVR) tasks. Our experimenta... 5.50 0% See Reviews View AI Dashboard
End-to-End Video Generative Modeling with Scalable Normalizing Flows High-quality video generation at scale requires models that are strictly causal, robust over long horizons, and fast at inference. We present STARFlow-V, a flow-based autoregressive video generator th... 3.50 10% See Reviews View AI Dashboard
Frozen Policy Iteration: Computationally Efficient RL under Linear $Q^{\pi}$ Realizability for Deterministic Dynamics We study computationally and statistically efficient reinforcement learning under the linear $Q^{\pi}$ realizability assumption, where any policy's $Q$-function is linear in a given state-action featu... 6.00 0% See Reviews View AI Dashboard
ILRe: Intermediate Layer Retrieval for Context Compression in Causal Language Models Large Language Models (LLMs) have demonstrated success across many benchmarks. However, they still exhibit limitations in long-context scenarios, primarily due to their short effective context length,... 2.00 12% See Reviews View AI Dashboard
Personified, Stylized and Controllable Conversation Based on Strategic GraphRAG Fixed prompt-based language models face challenges in open-domain conversations, where versatile topics require different expert advice or demonstrations to maximize their universal performance. Motiv... 4.00 6% See Reviews View AI Dashboard
GUARD: General Unsupervised Adversarial Robust Defense for Deep Multi-View Clustering via Information Bottleneck The integrity of Deep Multi-View Clustering (DMVC) is fundamentally challenged by adversarial attacks, which corrupt the learning process by injecting a malicious, task-misaligned informational signal... 3.50 16% See Reviews View AI Dashboard
ACT: AGENTIC CLASSIFICATION TREE When used in high-stakes settings, AI systems are expected to produce decisions that are transparent, interpretable, and auditable—a requirement increasingly expected by regulations. Decision trees su... 5.33 28% See Reviews View AI Dashboard
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