arXiv

Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation

The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining...

AI 聚合
2026-09-02
arXiv

Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation

Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code...

AI 聚合
2026-09-02
HuggingFace

The Mechanics of Democratic Dominance: A System Dynamics Paradigm for Dynamic Consent Engineering

Traditional frameworks of political communication operate under linear, event-driven assumptions that treat voter per...

AI 聚合
2026-09-02
HuggingFace

InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal

Generating professional scholarly content, such as peer reviews and rebuttals, requires an intricate synergy between ...

AI 聚合
2026-09-02
HuggingFace

ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation

SAR-to-EO image translation aims to generate electro-optical (EO) imagery from synthetic aperture radar (SAR) observa...

AI 聚合
2026-09-02
HuggingFace

EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

Multimodal memory offers a scalable interface for long-video question answering, but existing methods often retrieve ...

AI 聚合
2026-09-02
HuggingFace

Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering

A central bottleneck in multi-hop Question Answering (QA) is that the granularity at which a question is expressed of...

AI 聚合
2026-09-02
HuggingFace

Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System

While unified multimodal models (UMMs) jointly perform visual understanding and generation within a single model, fun...

AI 聚合
2026-09-02
HuggingFace

Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs

Prompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled ro...

AI 聚合
2026-09-02
HuggingFace

Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching

Multimodal Large Language Models (MLLMs) are strong perceivers of images and video. We ask how far that reach extends...

AI 聚合
2026-09-02
HuggingFace

StudentSim: Training LLM-based Student Simulators

AI tutors are most useful when they adapt to each student's strengths, weaknesses, and preferred guidance, but eviden...

AI 聚合
2026-09-02
HuggingFace

H3-World: Turning Language Understanding into World Control

We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world m...

AI 聚合
2026-09-02
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