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BEND 2.0: Benchmarking the Capabilities Needed to Design DNA
Genomic foundation models are increasingly used to propose DNA sequences and edits.
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Genomic foundation models are increasingly used to propose DNA sequences and edits.
Multimodal large language models (MLLMs) can generate detailed video captions, yet they may overemphasize minor details while overlooking essential context and…
Computer programmers chain together the same reusable computational primitives, for example, conditional statements or loops, but in different orders to…
Attention remains a substantial computational cost in Transformer training, particularly at long context lengths.
Protein-complex structure prediction with AlphaFold 3 depends on MSA content, depth, and cross-chain pairing.
Rapid advances in cowork agents are shifting human-AI collaboration toward real-world automation, delivering software, designs, and other artifacts.
Science experiment videos demonstrate how experiments are performed, but offer no direct interaction for learners.
Classical structure-from-motion reconstruction proceeds iteratively, refining camera poses and scene geometry from a current estimate.
Few-step autoregressive video diffusion enables efficient generation, yet maintaining consistency over long rollouts remains challenging, especially when…
Financial document recognition is often assessed using character and word error rates, although these metrics do not express whether a system preserves the…
Recent advances in Vision-Language-Action (VLA) models have enabled fine manipulation capabilities, yet performing tasks that require working memory remains a…
Progress in AI is often measured by what a single model can do on its own.
Research taste, the judgment of what to read, which problems to pursue, and which methods to try, increasingly shapes the work of AI scientists, yet it remains…
Complex documents such as scientific papers contain rich information in tables, figures, and equations; however, existing deep research (DR) agents typically…
Tool-using language-model agents often execute actions that their domain policies forbid.
AI-generated videos often depict people within detailed scenes while leaving their small facial regions poorly resolved.
Traditional image cropping assumes the photograph already contains the composition worth keeping, and asks only where to crop.
Recently, harness self-evolution has emerged as an important paradigm for improving agent performance.
General-purpose robot policies must work across robots, tasks, and environments, yet the variation that makes physical trials informative also makes them…
Foundation models in changing environments can encounter unfamiliar domain knowledge that their original training did not cover.
Speculative decoding accelerates memory-bound LLM decoding with a lightweight drafter, and parallel drafters extend this speedup by drafting a whole block in…
Long-form multi-shot video editing requires an intended edit to remain coherent across abrupt changes in scene, viewpoint, and subject appearance, while…
3D generation, editing, and completion are typically treated as regenerating the complete 3D asset under task-specific constraints, even when only a local…
Natural Language Processing (NLP) has been widely applied in financial domains, enabling automated analysis and retrieval of stock market information.
GUI web agents require realistic and interactive environments that remain stable during both evaluation and training.
**Purpose:** Ultrasound biometry is widely used across various clinical applications, including prenatal and cardiac examinations, to obtain quantitative…
We introduce Dory1.0-4B, a 4-billion-parameter looped (latent-recurrent) language model with elastic depth: a single checkpoint serves different inference…
Speculative decoding (SD) accelerates large language model inference by reducing the sequential cost of token-by-token generation.
Most image-based 3D reconstructors primarily recover visible surfaces, producing partial point clouds with large holes and leaving unobserved geometry…
Video dubbing aims to synthesize lip movements that match target speech while preserving the speaker identity, head pose, and background of a source video.
LLM agents for GPU kernel optimization sit at two ends of a structure-freedom tradeoff.
Reasoning substantially improves language models' ability to solve difficult problems, but long reasoning traces make these gains expensive.
Streaming digital humans produce detailed video while continuing speech as new text arrives.
Generative AI is billed per token, yet tokens are not equally expensive.
Sparse attention cuts the cost of long-context inference by making the attention matrix sparse: each query attends only a subset of the sequence, chosen by a…
Long-term memory enables large language model (LLM) agents to provide continuous personalized assistance by retaining user information across interactions.
This paper studies retrieval-augmented generation (RAG), which leverages external knowledge to improve the performance of language models.
Vision Transformers (ViTs) perform strongly in face recognition (FR), yet their fixed-depth inference limits deployment in resource-constrained settings.
Scaling depth is a key route to stronger large language models, but Pre-LN architectures often suffer from depth-wise information dilution, limiting the…