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Research

AI at MIT

DGX agent

At MIT, AI has become so pervasive that you can almost find your way into it without meaning to. Take Sili Deng, an associate professor of mechanical engineering. Deng says she still doesn’t know whet

researchmit-tech-review

21 Apr 2026

Research

Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation

DGX agent

arXiv:2604.16629v1 Announce Type: new Abstract: Inverse kinematics (IK) is a core operation in animation, robotics, and biomechanics: given Cartesian constraints, recover joint rotations under a known

Search: “research”

AI at MIT

Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation

An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal

An Exploration of Mamba for Speech Self-Supervised Models

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning

AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion

Applebaum: Trump does not think strategically and does not have an endgame. He began the war without clear goals, never asked the American p…

Applications of deep generative models to DNA reaction kinetics and to cryogenic electron microscopy

ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation

Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering

AstroSURE: Learning to Remove Noise from Astronomical Images Without Ground Truth Data

Asymptotic behavior of eigenvalues of large rank perturbations of large random matrices

Attention-ResUNet for Automated Fetal Head Segmentation

Authenticated Contradictions from Desynchronized Provenance and Watermarking

Automated Classification of Plasma Regions at Mars Using Machine Learning

Automated Palynological Analysis System: Integrating Deep Metric Learning and U^{2}-Net Detection in Hinfty bright field microscopy

AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning

AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning

Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms

BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation

Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting

BasketHAR: A Multimodal Dataset for Human Activity Recognition and Sport Analysis in Basketball Training Scenarios

Beam-Plasma Collective Oscillations in Intense Charged-Particle Beams: Dielectric Response Theory, Langmuir Wave Dispersion, and Unsupervised Detection via Prometheus

Before You Interpret the Profile: Validity Scaling for LLM Metacognitive Self-Report

Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors

Beyond Black-Box Labels: Interpretable Criteria for Diagnosing SubjectiveNLP Tasks

Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation

Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation

Beyond the Failures: Rethinking Foundation Models in Pathology

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining

Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents

Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation

BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs

Bounded Graph Clustering with Graph Neural Networks

Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction

Bridging Coarse and Fine Recognition: A Hybrid Approach for Open-Ended Multi-Granularity Object Recognition in Interactive Educational Games

Calibrating Model-Based Evaluation Metrics for Summarization

CamPVG: Camera-Controlled Panoramic Video Generation with Epipolar-Aware Diffusion

Central Limit Theorems for Asynchronous Averaged Q-Learning

Centre manifold theorem for maps along manifolds of fixed points

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Class-specific diffusion models improve military object detection in a low-data domain

Classification of systolic murmurs in heart sounds using multiresolution complex Gabor dictionary and vision transformer

Clinical Note Bloat Reduction for Efficient LLM Use

Co-generation of Layout and Shape from Text via Autoregressive 3D Diffusion

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy

Coevolving Representations in Joint Image-Feature Diffusion

Comparing Human and Large Language Model Interpretation of Implicit Information