← Search

Jiangning Liu

4 accepted papers

2026

MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing

IJCAI 2026

Recent writing assistants are increasingly shifting from passive, prompt-driven interaction to proactive, suggestion-based completion, which integrates localized continuations into the writing flow and reduces coordination burden. However, existing evaluations simply focus on output quality, failing

Cited by 0Scholar
2025

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

ICLR 2025poster

Information seeking and integration is a complex cognitive task that consumes enormous time and effort. Inspired by the remarkable progress of Large Language Models, recent works attempt to solve this task by combining LLMs and search engines. However, these methods still obtain unsatisfying perform…

2024

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

ACL 2024findings

Open-sourced Large Language Models (LLMs) have achieved great success in various NLP tasks, however, they are still far inferior to API-based models when acting as agents. How to integrate agent ability into general LLMs becomes a crucial and urgent problem.This paper first delivers three key observ…

2024

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

ACL 2024long

Large language models (LLMs) have achieved remarkable performance on various NLP tasks and are augmented by tools for broader applications. Yet, how to evaluate and analyze the tool utilization capability of LLMs is still under-explored. In contrast to previous works that evaluate models holisticall…