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Found 17 papers, 12 papers with code
Agent-as-a-Judge: Evaluate Agents with Agents
To address this, we introduce the Agent-as-a-Judge framework, wherein agentic systems are used to evaluate agentic systems.
AFlow: Automating Agentic Workflow Generation
Large language models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains, typically by employing agentic workflows that follow detailed instructions and operational sequences.
Ranked #3 on
Code Generation
on HumanEval
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
We hope our benchmark and model can facilitate and promote more research on chemical QA.
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
OpenDevin), a platform for the development of powerful and flexible AI agents that interact with the world in similar ways to those of a human developer: by writing code, interacting with a command line, and browsing the web.
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
This design of the retrieval mechanism enables the Goldfish to efficiently process arbitrarily long video sequences, facilitating its application in contexts such as movies or television series.
Data Interpreter: An LLM Agent For Data Science
On InfiAgent-DABench, it achieves a 25% performance boost, raising accuracy from 75. 9% to 94. 9%.
Language Agents as Optimizable Graphs
Various human-designed prompt engineering techniques have been proposed to improve problem solvers based on Large Language Models (LLMs), yielding many disparate code bases.
Learning to Identify Critical States for Reinforcement Learning from Videos
Recent work on deep reinforcement learning (DRL) has pointed out that algorithmic information about good policies can be extracted from offline data which lack explicit information about executed actions.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs).
Ranked #12 on
Code Generation
on HumanEval
Mindstorms in Natural Language-Based Societies of Mind
What should be the social structure of an NLSOM?
QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning
Daily images may convey abstract meanings that require us to memorize and infer profound information from them.
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation
Temporal video segmentation is the get-to-go automatic video analysis, which decomposes a long-form video into smaller components for the following-up understanding tasks.
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs
Figure skating scoring is challenging because it requires judging the technical moves of the players as well as their coordination with the background music.
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e. g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing research interest.
Ranked #15 on
Camouflaged Object Segmentation
on PCOD_1200
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT, which introduces a novel kaleido strategy for fashion cross-modality representations from transformers.
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
Our method detects camouflaged objects with an effective fusion strategy, which aggregates the rich context information from a large receptive field.
