Papers

3,241 in the directory.

Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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In silico drug repositioning for COVID-19 using absolute binding free energy calculations taaft Since the rise of the SARS-CoV-2 pandemic in the winter of 2019, the need for an affordable and eff… 2021-09-08 published
In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access? taaft Whether large language models (LLMs) can control their own internal representations matters for bot… 2026-09-01 published
In-context Pretraining: Language Modeling Beyond Document Boundaries taaft Large language models (LMs) are currently trained to predict tokens given document prefixes, enabli… 2023-10-16 published
In-Context Retrieval-Augmented Language Models taaft Retrieval-Augmented Language Modeling (RALM) methods, which condition a language model (LM) on rele… 2023-01-31 published
InceptionGS: Generative Bootstrapping for Large-Scale Gaussian Splatting under Unstructured View Sampling taaft Achieving truly immersive large-scale scene digitization necessitates consistent and visually pleas… 2026-09-02 published
Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection taaft Selecting a retrieval model for a production RAG system requires reliable comparative evaluation, b… 2026-09-02 published
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution taaft Large language models (LLMs) have shown promise in generating RTL code from natural-language descri… 2026-03-26 published
Independent Reinforcement Learning in Discounted Markov Games taaft In this work, we study radically uncoupled learning in discounted general-sum Markov games. Assumin… 2026-09-01 published
IndicDetect: Evaluating Cross-Lingual LLM-Generated Text Detection for Hindi, Telugu, and Tamil taaft The rapid proliferation of LLMs has further heightened the need to develop dependable AI-generated… 2026-08-30 published
IndicSafeEval: Safety Robustness of Large Language Models under Multilingual Persuasive Jailbreak Attacks taaft Large language models (LLMs) are increasingly used in multilingual settings, yet their safety is st… 2026-09-03 published
Induction and Inquiry via Probabilistic Reasoning over Language and Code taaft How humans grow and maintain abstract knowledge from the sparse, streaming noisy data of experience… 2026-09-01 published
Inferred Generative-Process Diversity Predicts Correlated Failure Across Language Models taaft Diversity is a widely observed factor in the resilient function of collective systems, yet the type… 2026-09-03 published
Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach taaft The geometric morphology of deposited filaments can significantly influence the structural performa… 2026-09-03 published
Influence Score and Transformers interpretability: Measure of the Effective Impact of Attention Heads at inference time taaft We propose an influence score to quantify the contribution of attention heads to classification dec… 2026-09-04 published
Information Density Imbalance in Visual Object Detection taaft In object detection, the number of instances is typically used to determine whether a dataset exhib… 2026-09-02 published
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk taaft Informative label missingness can change the usual efficiency ordering between completely and parti… 2026-08-31 published
InfraOcc: An Infrastructure Occupancy Benchmark with Static-to-Dynamic Reasoning taaft Fixed-viewpoint infrastructure sensors repeatedly observe the same traffic space, making roadside 3… 2026-08-31 published
InfraPatch: Cross-Task Targeted Grayscale Patch Attacks on Infrared-Adapted Vision-Language Models taaft Infrared vision-language models (IR-VLMs) have emerged as a promising paradigm for multimodal perce… 2026-09-02 published
Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization taaft Short-term load forecasting (STLF) provides essential information for numerous applications in mode… 2026-08-28 published
InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow Matching taaft Flow Matching (FM) has recently emerged as a leading approach for high-fidelity visual generation,… 2026-03-19 published
InKAN: B-Spline KANs via Truncated Power Form taaft Kolmogorov-Arnold Networks (KANs) place learnable B-spline activations on network edges rather than… 2026-09-02 published
Input-Adaptive Gating of a Dehazing Front-End for On-Device Perception in Smoke-Obscured Environments taaft Two-stage vision pipelines often place an enhancement network before a task network, on the assumpt… 2026-08-30 published
INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators taaft Large Language Model (LLM)-based simulators often reproduce observable actions but fail to capture… 2026-08-11 published
InsightSeg: Reusing Correction Insights for Guideline-Consistent Segmentation taaft Guideline-consistent semantic segmentation requires more than category recognition, as real-world l… 2026-09-02 published
InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models taaft For trained operators, gauge reading requires little specialized knowledge, low cognitive effort, a… 2026-09-03 published
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding NVIDIA Neural graphics primitives, parameterized by fully connected neural networks, can be costly to trai… 2022-01-16 published
InstEditSeg: Instruction-Driven Image Editing for Polyp and Skin Lesion Segmentation taaft Accurate segmentation of polyps and skin lesions is pivotal for clinical diagnosis, yet existing me… 2026-09-02 published
Instella-MoE Technical Report taaft In this work, we introduce Instella-MoE, a fully open Mixture-of-Experts (MoE) language model with… 2026-09-01 published
Instruction Mining: Instruction Data Selection for Tuning Large Language Models taaft Large language models (LLMs) are initially pretrained for broad capabilities and then finetuned wit… 2023-07-12 published
InstructMesh: Selective Refinement of Generative 3D Models for Fabrication taaft Recent advances in generative AI allow users to create 3D models from text or images. However, thes… 2026-08-28 published
InstructPix2Pix: Learning to Follow Image Editing Instructions taaft We propose a method for editing images from human instructions: given an input image and a written… 2022-11-17 published
Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects taaft Reliable characterization of structural defects requires methods capable of resolving both directly… 2026-09-01 published
Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environments taaft Coordinating teams of aerial robots in cluttered three-dimensional (3D) environments requires a pri… 2026-03-26 published
Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics taaft Autonomous object search is challenging for mobile robots operating in indoor environments due to p… 2026-03-26 published
Intel GPU Inference Optimization Intel Transformer based Large Language Models (LLMs) have been widely used in many fields, and the effici… 2023-12-19 published
INTENT-AS-A-TOOL Makes it Easy to Track Agentic Misalignment taaft As large language models (LLMs) are deployed as autonomous agents, safety failures increasingly inv… 2026-08-27 published