works on

From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CL2026

Idea2Plan: Exploring AI-Powered Research Planning

Jin Huang, Silviu Cucerzan, Sujay Kumar Jauhar +1

The paper studies how large language models can turn research ideas into detailed research plans, introducing the Idea2Plan benchmark and evaluating models like GPT‑5 on this task.

cs.CL2026

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback

Taiwei Shi, Zhuoer Wang, Longqi Yang +12

As large language models (LLMs) continue to advance, aligning these models with human preferences has emerged as a critical challenge. Traditional alignment methods, relying on hum…

cs.CL2026

Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference

Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar +1

Large language models (LLMs) are increasingly used for text-rich graph machine learning tasks such as node classification in high-impact domains like fraud detection and recommenda…

cs.AI2026

Beyond Output Critique: Self-Correction via Task Distillation

Hossein A. Rahmani, Mengting Wan, Pei Zhou +4

Large language models (LLMs) have shown promising self-correction abilities, where iterative refinement improves the quality of generated responses. However, most existing approach…

cs.CL2025

Evaluating Style-Personalized Text Generation: Challenges and Directions

Anubhav Jangra, Bahareh Sarrafzadeh, Silviu Cucerzan +2

With the surge of large language models (LLMs) and their ability to produce customized output, style-personalized text generation--"write like me"--has become a rapidly growing are…

cs.CL2025

Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Rupak Sarkar, Bahareh Sarrafzadeh, Nirupama Chandrasekaran +4

Human-LLM conversations are increasingly becoming more pervasive in peoples' professional and personal lives, yet many users still struggle to elicit helpful responses from LLM Cha…