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Benchmarking
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
BestServe: Serving Strategies with Optimal Goodput in Collocation and Disaggregation Architectures
MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks
Benchmarking Misuse Mitigation Against Covert Adversaries
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
BSBench: will your LLM find the largest prime number?
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
Urania: Differentially Private Insights into AI Use
HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories
Design of intelligent proofreading system for English translation based on CNN and BERT
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
FRED: The Florence RGB-Event Drone Dataset
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs
Refer to Anything with Vision-Language Prompts
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Benchmarking Large Language Models on Homework Assessment in Circuit Analysis
AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems
Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset
Knowledge-guided Contextual Gene Set Analysis Using Large Language Models
MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
Rethinking Machine Unlearning in Image Generation Models
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.