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Found 8 papers, 4 papers with code
Generative Evaluation of Complex Reasoning in Large Language Models
Moreover, LLM performance on KUMO tasks correlates strongly with results on newly released real-world reasoning benchmarks, underscoring KUMO's value as a robust, enduring assessment tool for genuine LLM reasoning capabilities.
$B^4$: A Black-Box Scrubbing Attack on LLM Watermarks
Specifically, we formulate the watermark scrubbing attack as a constrained optimization problem by capturing its objectives with two distributions, a Watermark Distribution and a Fidelity Distribution.
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
Our benchmark facilitates independent correction of misreading and misrecognition errors by editing the corresponding knowledge component.
WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness
To this end, we introduce \textbf{WaterPool}, a simple yet effective key module that preserves a complete key sampling space required by imperceptibility while utilizing semantics-based search to improve the key restoration process.
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
The ever-growing ecosystem of LLMs has posed a challenge in selecting the most appropriate pre-trained model to fine-tune amidst a sea of options.
ALCUNA: Large Language Models Meet New Knowledge
With the rapid development of NLP, large-scale language models (LLMs) excel in various tasks across multiple domains now.
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
We propose the Multi-Perspective Self-Consistency (MPSC) framework incorporating both inter- and intra-consistency across outputs from multiple perspectives.
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk
Crosstalk is a traditional Chinese theatrical performance art.
