activity
20242026
most citedA Survey on Knowledge Distillation of Large Language Models

55 citations · 57 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

When Interfaces Speak: Data-Aware Generative UI Harness for Active Interaction

Xiaolong Li, Xiaohan Xu, Jinyang Li +5

Most human-agent interaction today remains text-based. Natural language can impose cognitive overload, ambiguity, information chaos, and slow input for complex tasks; ephemeral gen…

cs.AI2026

ORCA: Evaluating LLMs on Data Science Code Translation

Xiaolong Li, Jinyang Li, Bowen Qin +5

Data Science Code Translation (DSCT) is the process of converting code between data science libraries while preserving functional equivalence and enabling interoperability across d…

cs.AI2026

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders

Wei Pang, Xiangru Jian, Hehan Li +10

Tabular encoders are usually evaluated inside task-specific end-to-end pipelines, so models from different training paradigms are difficult to compare directly even when they opera…

cs.AI2025★ 1 cited

BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions

Nan Huo, Xiaohan Xu, Jinyang Li +21

Large language models (LLMs) have demonstrated remarkable performance on single-turn text-to-SQL tasks, but real-world database applications predominantly require multi-turn intera…

cs.AI2024

Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents

Jinyang Li, Nan Huo, Yan Gao +7

Interactive Data Analysis, the collaboration between humans and LLM agents, enables real-time data exploration for informed decision-making. The challenges and costs of collecting…