GAIA: a benchmark for General AI Assistants
Paper
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2311.12983
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Published
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187
Benchmarks
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MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Paper • 2311.16502 • Published • 35 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 25 -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 35 -
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Paper • 2404.03820 • Published • 25 -
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
Paper • 2404.03543 • Published • 16 -
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
Paper • 2404.16820 • Published • 16 -
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
Paper • 2404.16790 • Published • 8 -
On the Planning Abilities of Large Language Models -- A Critical Investigation
Paper • 2305.15771 • Published • 1 -
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Paper • 2405.21075 • Published • 22 -
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Paper • 2406.09170 • Published • 26 -
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Paper • 2406.09411 • Published • 19 -
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Paper • 2406.08587 • Published • 15 -
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
Paper • 2406.11833 • Published • 62 -
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper • 2406.09961 • Published • 55 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 53 -
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Paper • 2406.10149 • Published • 49 -
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
Paper • 2407.18961 • Published • 40 -
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
Paper • 2407.18901 • Published • 33 -
WebArena: A Realistic Web Environment for Building Autonomous Agents
Paper • 2307.13854 • Published • 24 -
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
Paper • 2408.03361 • Published • 86 -
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java
Paper • 2408.14354 • Published • 41 -
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
Paper • 2405.07960 • Published • 1 -
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Paper • 2310.16049 • Published • 4 -
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines
Paper • 2409.12959 • Published • 37 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 67 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 42 -
OmniBench: Towards The Future of Universal Omni-Language Models
Paper • 2409.15272 • Published • 27 -
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Paper • 2410.07985 • Published • 28 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 47 -
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
Paper • 2412.15204 • Published • 33 -
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Paper • 2412.14161 • Published • 50 -
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 91 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 53 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 47 -
A3: Android Agent Arena for Mobile GUI Agents
Paper • 2501.01149 • Published • 22 -
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
Paper • 2412.21199 • Published • 12 -
ResearchTown: Simulator of Human Research Community
Paper • 2412.17767 • Published • 13 -
Agent-SafetyBench: Evaluating the Safety of LLM Agents
Paper • 2412.14470 • Published • 12 -
The BrowserGym Ecosystem for Web Agent Research
Paper • 2412.05467 • Published • 19 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 46 -
Densing Law of LLMs
Paper • 2412.04315 • Published • 17 -
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs
Paper • 2412.03205 • Published • 16 -
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Paper • 2411.06176 • Published • 45 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 16 -
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond
Paper • 2411.03590 • Published • 10 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 49 -
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Paper • 2310.11667 • Published • 3 -
PokerBench: Training Large Language Models to become Professional Poker Players
Paper • 2501.08328 • Published • 13 -
WebWalker: Benchmarking LLMs in Web Traversal
Paper • 2501.07572 • Published • 18 -
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper • 2501.05510 • Published • 35 -
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Paper • 2501.04003 • Published • 23 -
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
Paper • 2501.08828 • Published • 26 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
Do generative video models learn physical principles from watching videos?
Paper • 2501.09038 • Published • 19