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Heng Ji

Professor at UIUC; one of the most prolific NLP researchers; works on information extraction, multimodal LLMs, and scientific reasoning.

Role
professor
GitHub
Unknown
Papers
71

Cite

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71papers

Authored papers

71

Foundation Protocol: A Coordination Layer for Agentic Society

arXiv 2026

2026

CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing

arXiv 2026

2026

Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data

arXiv 2026

2026

Toward Cognitive Supersensing in Multimodal Large Language Model

arXiv 2026

2026

ReIn: Conversational Error Recovery with Reasoning Inception

arXiv 2026

2026

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

arXiv 2026

2026

Adaptation of Agentic AI

arXiv 2025

2025

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

arXiv 2025

2025

ToolRL: Reward is All Tool Learning Needs

arXiv 2025

2025

Seed1.5-VL Technical Report

arXiv 2025

2025

RM-R1: Reward Modeling as Reasoning

arXiv 2025

2025

Large Language Models Post-training: Surveying Techniques from Alignment to Reasoning

arXiv 2025

2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

arXiv 2025

2025

Internal Activation as the Polar Star for Steering Unsafe LLM Behavior

arXiv 2025

2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

arXiv 2025

2025

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

arXiv 2025

2025

From Word to World: Can Large Language Models be Implicit Text-based World Models?

arXiv 2025

2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence

arXiv 2025

2025

SMART: Self-Aware Agent for Tool Overuse Mitigation

arXiv 2025

2025

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

arXiv 2025

2025

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training

arXiv 2025

2025

Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts

arXiv 2025

2025

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering

arXiv 2025

2025

Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis

arXiv 2025

2025

Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum

arXiv 2025

2025

Energy-Based Transformers are Scalable Learners and Thinkers

arXiv 2025

2025

Perception-Aware Policy Optimization for Multimodal Reasoning

arXiv 2025

2025

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning

arXiv 2025

2025

UserBench: An Interactive Gym Environment for User-Centric Agents

arXiv 2025

2025

oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning

arXiv 2025

2025

SWE-Gym: An Open Environment for Training Software Engineering Agents and Verifiers

preprint

2024

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

arXiv 2024

2024

TrustLLM: Trustworthiness in Large Language Models

arXiv 2024

2024

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models

arXiv 2024

2024

Infogent: An Agent-Based Framework for Web Information Aggregation

arXiv 2024

2024

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking

arXiv 2024

2024

L+M-24: Building a Dataset for Language + Molecules @ ACL 2024

arXiv 2024

2024

FIRST: Faster Improved Listwise Reranking with Single Token Decoding

arXiv 2024

2024

Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences

arXiv 2024

2024

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction

chem-finese-validating-fine-grained-few-shot

2024

Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks

arXiv 2024

2024

SOLO: A Single Transformer for Scalable Vision-Language Modeling

arXiv 2024

2024

Weak-to-Strong Extrapolation Expedites Alignment

arXiv 2024

2024

Visually Descriptive Language Model for Vector Graphics Reasoning

arXiv 2024

2024

Eliminating Position Bias of Language Models: A Mechanistic Approach

arXiv 2024

2024

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders

arXiv 2024

2024

SciMON: Scientific Inspiration Machines Optimized for Novelty

arXiv 2023

2023

Tool Learning with Foundation Models

arXiv 2023

2023

R-Tuning: Instructing Large Language Models to Say `I Don't Know'

arXiv 2023

2023

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

arXiv 2023

2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

arXiv 2023

2023

Mitigating the Alignment Tax of RLHF

arXiv 2023

2023

Large Language Models on Graphs: A Comprehensive Survey

arXiv 2023

2023

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

arXiv 2023

2023

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

arXiv 2023

2023

Word Embeddings Are Steers for Language Models

arXiv 2023

2023

Instruct and Extract: Instruction Tuning for On-Demand Information Extraction

arXiv 2023

2023

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning

arXiv 2023

2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions

arXiv 2023

2023

Non-Sequential Graph Script Induction via Multimedia Grounding

arXiv 2023

2023

Open-Vocabulary Argument Role Prediction for Event Extraction

arXiv 2022

2022

Multimedia Generative Script Learning for Task Planning

arXiv 2022

2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation

arXiv 2022

2022

Efficient Attentions for Long Document Summarization

NAACL 2021 4

2021

Stage-wise Fine-tuning for Graph-to-Text Generation

ACL 2021 5

2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

NAACL 2021 4

2021

A Survey of Knowledge-Enhanced Text Generation

arXiv 2020

2020

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis

INLG (ACL) 2020 12

2020

PaperRobot: Incremental Draft Generation of Scientific Ideas

paperrobot-incremental-draft-generation-of-1

2019

Describing a Knowledge Base

describing-a-knowledge-base-1

2018

Paper Abstract Writing through Editing Mechanism

paper-abstract-writing-through-editing-1

2018

Affiliations

Frequent co-authors

10

from 71 papers