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Collections

Discover the best community collections!

Collections including paper arxiv:2412.14161

a collection of algorithmic agents for user interfaces/interactions and program synthesis

Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018
Mapping Natural Language Commands to Web Elements

Paper • 1808.09132 • Published Aug 28, 2018

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 7 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 22
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 82
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49

Tasks/Benchmarks/Envs

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49

Position Papers

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published 24 days ago • 48
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Paper • 2412.14171 • Published 24 days ago • 24
The Open Source Advantage in Large Language Models (LLMs)

Paper • 2412.12004 • Published 26 days ago • 9

No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 27 days ago • 41
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments

Paper • 2408.10945 • Published Aug 20, 2024 • 9
PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Paper • 2412.15204 • Published 23 days ago • 33
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49
Alignment faking in large language models

Paper • 2412.14093 • Published 24 days ago • 7
The Open Source Advantage in Large Language Models (LLMs)

Paper • 2412.12004 • Published 26 days ago • 9

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation

Paper • 2411.18499 • Published Nov 27, 2024 • 18
VLSBench: Unveiling Visual Leakage in Multimodal Safety

Paper • 2411.19939 • Published Nov 29, 2024 • 9
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?

Paper • 2412.02611 • Published Dec 3, 2024 • 23
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 16

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant

Paper • 2410.18603 • Published Oct 24, 2024 • 32
Agent S: An Open Agentic Framework that Uses Computers Like a Human

Paper • 2410.08164 • Published Oct 10, 2024 • 24
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 24 days ago • 49

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