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20232026
most citedMetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks

3 citations · 8 across the 25 of their papers we have counts for

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9 papers · 1 filter

cs.CL2026

Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States

Zixuan Wang, Yufan Zhou, Jinzhou Tang +16

As language models become more capable, long-term collaboration in learning, reasoning, and decision-making calls for a deeper understanding of the people they serve. Yet training…

cs.AI2026

Can LLMs Discover Scientific Laws in Real and Parallel Worlds?

Yiming Huang, Ziche Liu, Zhuohang Wu +12

Scientific law discovery has long been central to scientific progress, proceeding through iterative cycles of generating hypotheses, testing them against empirical evidence, and re…

cs.CL2026

BOOKMARKS: Efficient Active Storyline Memory for Role-playing

Letian Peng, Ziche Liu, Yiming Huang +4

Memory systems are critical for role-playing agents (RPAs) to maintain long-horizon consistency. However, existing RPA memory methods (e.g., profiling) mainly rely on incremental s…

cs.CL2026

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis

Xinkai Zou, Yiming Huang, Zhuohang Wu +5

Simulating how organized groups (e.g., corporations) make decisions (e.g., responding to a competitor's move) is essential for understanding real-world dynamics and could benefit r…

cs.IR2026

How Well Does Generative Recommendation Generalize?

Yijie Ding, Zitian Guo, Jiacheng Li +8

A widely held hypothesis for why generative recommendation (GR) models outperform conventional item ID-based models is that they generalize better. However, there is few systematic…

cs.CL2026

Codified Finite-state Machines for Role-playing

Letian Peng, Yupeng Hou, Kun Zhou +1

Modeling latent character states is crucial for consistent and engaging role-playing (RP) with large language models (LLMs). Yet, existing prompting-based approaches mainly capture…

cs.CL2026

Deriving Character Logic from Storyline as Codified Decision Trees

Letian Peng, Kun Zhou, Longfei Yun +2

Role-playing (RP) agents rely on behavioral profiles to act consistently across diverse narrative contexts, yet existing profiles are largely unstructured, non-executable, and weak…

cs.CL2026

Codified Foreshadowing-Payoff Text Generation

Longfei Yun, Kun Zhou, Yupeng Hou +2

Foreshadowing and payoff are ubiquitous narrative devices through which authors introduce commitments early in a story and resolve them through concrete, observable outcomes. Howev…

cs.AI2026

C-World: A Computer Use Agent Environment Creator

Ziqiao Xi, Shuang Liang, Qi Liu +9

To close the gap between LLM-based agents and humans in planning and reasoning, agents need large-scale, diverse environments for continuous learning -- yet building such environme…