Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria
Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria This research explores how to build automated grading systems for intro...
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Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria This research explores how to build automated grading systems for intro...
Hedge-Bench: Benchmarking Agents on Hard, Realistic Tasks Pertaining to Financial Reasoning AI agents have become proficient at routine financial tasks like...
BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents Financial research is rarely about finding a single number; it is about building...
scTranslation: A Comprehensive Benchmark for Single-Cell Multi-Omics Modality Translation Single-cell technologies allow researchers to study individual cell...
Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection Reinforcement learning (RL) has be...
Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization Urban traffic simulation is a vital tool for city planning, such...
Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models Vision-language models (VLMs) are highly capable, yet they often strugg...
Reasoning Structure of Large Language Models Large reasoning models (LRMs) are typically judged by simple metrics like whether they get the right answer or h...
PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models aims to solve a critical problem in artificial intelligence: why do...
Language agents, such as those powered by large language models, often perform complex tasks but fail to retain or reuse the knowledge gained from one episod...
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