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What is gaining attention fastest, ranked by growth in upvotes as reported by the source, plus brand-new entries that arrived with traction. Looking for everything that just appeared, in order? See New.
- Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents New+96 upvotes
Agents driven by large language models are increasingly deployed on long-horizon tasks, where they use tools and modify real workspaces. How well they perform d
- Recovering Reliable Supervision via Critique-Guided On-Policy Distillation New+76 upvotes
On-policy distillation (OPD) trains a student model on its own rollouts with token-level supervision from a teacher, assuming that the teacher can reach a corre
- More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning New+76 upvotes
Self-distillation in agentic reinforcement learning has produced a growing number of methods. However, existing evaluations often reuse published baseline score
- Self-Evolving Agent Harness New+72 upvotes
Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fix
- LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation New+65 upvotes
Looped Mixture-of-Experts (MoE) models combine parameter reuse with sparse computation to improve performance under matched budgets. Prior work demonstrates tha
- Cortex: Consolidating Context into Parametric Memory New+65 upvotes
Context can improve large language model performance, but these gains may be lost after context removal. Inspired by biological systems consolidation, we formul
- RuleTrek: Benchmarking Agentic Rule Reasoning in Complex Scenarios New+63 upvotes
Large language models (LLMs) increasingly tackle complex real-world tasks in specialized domains. However, identifying and correctly applying domain-specific ru
- Speculative Forcing for Efficient Autoregressive Video Generation New+58 upvotes
Few-step autoregressive video generators enable streaming generation, yet they run every token through the final denoising step, regardless of how much refineme
- ActionOPD: Distilling Decisions, Not Tokens New+54 upvotes
Distilling capable language-model agents into smaller models requires aligning the student's behavior with the teacher's. This raises a fundamental question: at
- Learning Where to Split: Dynamic Band Splitting for Audio Source Separation New+48 upvotes
Audio source separation models must preserve fine spectral structure while keeping the cost of the separator tractable. Band-split architectures reduce this cos
- Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders New+46 upvotes
A recommendation request on Reddit draws several replies, each naming different titles. When an LLM recommender is trained on such threads with reinforcement le
- Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory New+46 upvotes
Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across
- SCOPE: Semantic Bounded Credit Optimization for Prompt Engineering in Text-to-image Generation New+44 upvotes
Reinforcement learning (RL) enables language models to improve text-to-image (T2I) generation by rewriting prompts for a frozen image generator. Existing method
- 3DCodeVerse: Exploring 3D Worlds as Code New+41 upvotes
We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-sca
- Generative World Simulation with DAO and JING New+9 upvotes
We present a Generative World Simulation framework that couples persistent shared world state with continuous first-person audiovisual generation. The framework
- ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty New+9 upvotes
Evaluating model uncertainty on real-world data is challenging because each instance provides only a single observed label, leaving true conditional class proba
- BigCell: Generating Gigapixel Whole-Slide Images New+9 upvotes
Whole-slide images (WSIs) are gigapixel-scale digital scans of histopathology tissue and serve as the primary basis for cancer diagnosis. Existing histopatholog
- Rethinking Projector Training in Multimodal LLMs New+9 upvotes
Multimodal LLMs are typically trained by first aligning a vision encoder with a language model via projector training on large image-caption datasets, followed
- What Makes a Social Agent's Interactions Effective? Learning from Verifiable Outcomes in Paired Worlds New+9 upvotes
Effective social interaction requires more than fluent responses: agents must reach plans that fit the participants' needs and circumstances. Existing evaluatio
- Share the Symbol, Not the Vector: Training-Free Fact Communication Across Language Models New+9 upvotes
Multi-agent systems allow language models to solve tasks collaboratively by sharing complementary information. These systems typically communicate through text,
- Athanor: An Agent-Native System for Autonomous Post-Training Research New+8 upvotes
Recursive self-improvement, in which AI systems build stronger AI systems, is one promising route to superintelligence. We study a weaker form that can be measu
- Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching New+8 upvotes
Recent work has explored visual reasoning through image generation, where models solve visual-reasoning problems by directly generating solution images. Intuiti
- Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance New+8 upvotes
Autoregressive generation underlies real-time, causal video synthesis and is the backbone of video world models. Today's dominant approach distills a bidirectio
- TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering New+8 upvotes
Text-to-image models increasingly generate readable Chinese text that still contains local rendering defects, such as a character with an extra or missing strok
- SWEeper-Bench: Can Agents Discover Bugs in Interactive Software? New+8 upvotes
Coding agents increasingly interact with users by generating interactive software on the fly rather than replying in text, yet many bugs in such software reveal
- From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents New+8 upvotes
Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agent needs to
- FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation New+8 upvotes
Linear-time sequence models typically store long-context information in a recurrent state. A fixed-size state limits how much information can be stored, while h
- WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models New+8 upvotes
As video models enable longer and more realistic interactive experiences, maintaining a world consistent with its history becomes essential. This requires both
- VITAL: From Visual Motion to Precise Action New+8 upvotes
World-action models aim to turn visual anticipation into driving decisions, yet typically train action experts on trajectory representations defined independent
- Continuum Attention New+7 upvotes
We introduce Continuum Attention (CA), a causal Transformer attention operator that replaces discrete key and value lookup with integration over a continuous, p
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Counts are the numbers reported by Hugging Face, GitHub and arXiv-linked communities, recorded daily by Silytics. Downloads on Hugging Face are 30-day figures, so a model that is already popular can still rank. Papers are ranked by Hugging Face daily-paper upvotes.