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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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.
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Interact3D: Compositional 3D Generation of Interactive Objects Adobe Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets… 2026-03-17 published
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Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
Intuit
Large language models (LLMs) have demonstrated remarkable capabilities in various tasks. However, t…
2023-10-31
published
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Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models taaft This study explores the realm of knowledge base question answering (KBQA). KBQA is considered a cha… 2024-02-23 published
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InterDyad: Interactive Dyadic Speech-to-Video Generation by Querying Intermediate Visual Guidance taaft Despite progress in speech-to-video synthesis, existing methods often struggle to capture cross-ind… 2026-03-24 published
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InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization taaft Unified models for robot manipulation aim to equip one policy with both the semantic priors of pret… 2026-07-06 published
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Interpretability for Turing Machines taaft We show that susceptibilities, an interpretability technique developed for neural networks, can ide… 2026-09-04 published
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Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification taaft Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical… 2026-07-06 published
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Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models taaft Accurate short-term air-quality forecasting is essential for public health protection and urban man… 2026-03-26 published
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Interpretable Symptom Vectors for Depression in a Large Language Model taaft Patients with depression present with diverse symptom profiles, yet clinical practice routinely red… 2026-09-01 published
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Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs taaft Zero-shot referring expression comprehension (REC) aims to locate target objects in images given na… 2026-03-26 published
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Interpreting Protein Language Model Embeddings via Orthogonal Projection for Protein Fitness Prediction taaft Recently, there has been a growing adoption of protein language models (PLMs) in biomedical science… 2026-08-26 published
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InterPruner: Interactive Structured Pruning via Taylor-Implicit Criterion and Language-Prior Modulator for Multimodal Object Detection taaft Multimodal object detection proves effective in remote sensing, especially the RGB-Infrared paradig… 2026-08-11 published
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InterSing: Explicit Interaction Dynamics for 3D Duet Singing Animation and Beyond taaft We present InterSing, a framework for generating realistic 3D head animations for duet singing perf… 2026-09-04 published
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INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Prediction taaft Electronic Health Record (EHR) prediction models in the intensive care unit must learn from sparse… 2026-08-30 published
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Intrinsic Temporal Adaptation of CLIP for Partially Relevant Video Retrieval taaft Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos that contain moments re… 2026-09-04 published
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Introducing SINFONIA: Symplectic, slimplectic and Magnusian (Neural) Flows for Orbital Numerical Integration and Acceleration taaft Long-duration gravitational-wave modelling must resolve fast orbital motion together with slow diss… 2026-09-03 published
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Inverting the Bellman Equation: From $Q$-Values to World Models taaft Model-based and model-free reinforcement learning are traditionally viewed as separate paradigms: i… 2026-06-19 published
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Investigating Assistant Bias in LLM User Simulators Using a Role Vector taaft LLM-based user simulators are increasingly used to evaluate autonomous agents at scale, in place of… 2026-09-01 published
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Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach taaft Neuroevolution of Augmenting Topologies (NEAT) and its advanced version, Evolvable-Substrate HyperN… 2026-08-31 published
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Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes taaft Several studies have evaluated the ability of Large Language Models (LLMs) for meal planning, yield… 2026-09-03 published
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Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search taaft Recent advances in the Model Context Protocol (MCP) have enabled large language models (LLMs) to in… 2026-03-25 published
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IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion taaft Accurate city-level IP Geolocation is an important enabler for the modern digital ecosystem, underp… 2026-09-03 published
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Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure taaft Prior work uses linear probes on benchmark prompts as evidence of evaluation awareness in large lan… 2026-03-19 published
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Is Monte Carlo Tree Search Just Every-Visit Monte Carlo Control? taaft Monte Carlo Tree Search (MCTS) and every-visit Monte Carlo (MC) control are usually presented as di… 2026-08-28 published
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Is skipping zeros free on a wafer-scale chip? Transformer Lab Using cycle-accurate simulation of a Cerebras wafer-scale processor, compares conditionally skippin… Transformer Lab
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iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery taaft Sending massive Earth observation data produced by low Earth orbit (LEO) satellites back to the gro… 2026-03-19 published
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ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation taaft Retrieval-Augmented Generation (RAG) mitigates large language models (LLMs) hallucinations, yet con… 2026-09-01 published
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ISO: An RLVR-Native Optimization Stack taaft Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabiliti… 2026-07-21 published
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IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment taaft Vision-Language Models like CLIP are extensively used for inter-modal tasks which involve both visu… 2026-03-20 published
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It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces taaft Uncertainty Quantification (UQ) plays a vital role in enhancing the reliability of deep learning mo… 2026-08-25 published
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It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning taaft Retrieval is the first stage of modern search and advertising systems, selecting a candidate set fr… 2026-09-01 published
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IT-TextFusion: Iterative Text-Image Interaction with Text-Guided Residual Refinement for Degradation-Aware Image Fusion taaft Text-guided image fusion has recently emerged as an effective paradigm for integrating multi-modal… 2026-09-01 published
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It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning taaft Time is of the essence when dealing with multiple reward signals and non-linear utility. In this pa… 2026-08-26 published
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ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Pinterest
Learned embeddings for products are an important building block for web-scale e-commerce recommenda…
2022-05-24
published
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JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems taaft Despite recent advances, efficient and robust turn-taking detection remains a significant challenge… 2026-03-27 published
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JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization taaft Text-to-image (T2I) models such as Stable Diffusion and DALLE remain susceptible to generating harm… 2026-03-22 published