activity
20212026
most citedRoFormer: Enhanced Transformer with Rotary Position Embedding

235 citations · 370 across the 31 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.NE2024★ 1 cited

QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution

Zijie Chen, Zhanchao Zhou, Yu Lu +3

Solving NP-hard problems traditionally relies on heuristics, yet manually designing effective heuristics for complex problems remains a significant challenge. While recent advancem…

cs.CV2024

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Ziliang Gan, Yu Lu, Dong Zhang +9

In recent years, multimodal benchmarks for general domains have guided the rapid development of multimodal models on general tasks. However, the financial field has its peculiariti…

cs.AI2024★ 5 cited

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Xiang Hu, Hongyu Fu, Jinge Wang +7

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produc…

cs.CL2024

Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs

Zhiwei Cao, Qian Cao, Yu Lu +4

The growing popularity of Large Language Models has sparked interest in context compression for Large Language Models (LLMs). However, the performance of previous methods degrades…

cs.CL2024★ 1 cited

G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation

Xingyuan Pan, Luyang Huang, Liyan Kang +3

Large Language Models (LLMs) have demonstrated remarkable abilities in general scenarios. Instruction finetuning empowers them to align with humans in various tasks. Nevertheless,…

cs.CL2024

Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents

Shuai Zhang, Yu Lu, Junwen Liu +4

With the growing humanlike nature of dialog agents, people are now engaging in extended conversations that can stretch from brief moments to substantial periods of time. Understand…

cs.CL2024★ 3 cited

Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs

Anqi Li, Yu Lu, Nirui Song +3

Robust therapeutic relationships between counselors and clients are fundamental to counseling effectiveness. The assessment of therapeutic alliance is well-established in tradition…