Saved in:
| Main Authors: | Koneru, Sai, Joe, Elphin, Kirchhoff, Christine, Wu, Jian, Rajtmajer, Sarah |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.20162 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights
by: Joe, Elphin Tom, et al.
Published: (2024)
by: Joe, Elphin Tom, et al.
Published: (2024)
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
by: Koneru, Sai, et al.
Published: (2023)
by: Koneru, Sai, et al.
Published: (2023)
Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
by: Koneru, Sai, et al.
Published: (2026)
by: Koneru, Sai, et al.
Published: (2026)
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
What Are Research Hypotheses?
by: Wu, Jian, et al.
Published: (2025)
by: Wu, Jian, et al.
Published: (2025)
Perspectives from India: Opportunities and Challenges for AI Replication Prediction to Improve Confidence in Published Research
by: Chakravorti, Tatiana, et al.
Published: (2023)
by: Chakravorti, Tatiana, et al.
Published: (2023)
Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India
by: Chakravorti, Tatiana, et al.
Published: (2024)
by: Chakravorti, Tatiana, et al.
Published: (2024)
Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
The Failed Migration of Academic Twitter: A Case Study of Precocious Adopters
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
by: Obadage, Rochana R., et al.
Published: (2025)
by: Obadage, Rochana R., et al.
Published: (2025)
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing
by: Koneru, Sai, et al.
Published: (2023)
by: Koneru, Sai, et al.
Published: (2023)
ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
by: Nguyen, Bang, et al.
Published: (2026)
by: Nguyen, Bang, et al.
Published: (2026)
OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion
by: Koneru, Sai, et al.
Published: (2025)
by: Koneru, Sai, et al.
Published: (2025)
KIT's Offline Speech Translation and Instruction Following Submission for IWSLT 2025
by: Koneru, Sai, et al.
Published: (2025)
by: Koneru, Sai, et al.
Published: (2025)
Quality-Aware Decoding: Unifying Quality Estimation and Decoding
by: Koneru, Sai, et al.
Published: (2025)
by: Koneru, Sai, et al.
Published: (2025)
Social Scientists on the Role of AI in Research
by: Chakravorti, Tatiana, et al.
Published: (2025)
by: Chakravorti, Tatiana, et al.
Published: (2025)
Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
by: Zhang, Bo, et al.
Published: (2025)
by: Zhang, Bo, et al.
Published: (2025)
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies
by: Koneru, Sai, et al.
Published: (2024)
by: Koneru, Sai, et al.
Published: (2024)
UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages
by: Chitale, Pranjal A., et al.
Published: (2025)
by: Chitale, Pranjal A., et al.
Published: (2025)
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)
by: Xie, Tingyu, et al.
Published: (2024)
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
by: Hayati, Shirley Anugrah, et al.
Published: (2024)
by: Hayati, Shirley Anugrah, et al.
Published: (2024)
Large Language Models can Strategically Deceive their Users when Put Under Pressure
by: Scheurer, Jérémy, et al.
Published: (2023)
by: Scheurer, Jérémy, et al.
Published: (2023)
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
by: Kharyal, Chaitanya, et al.
Published: (2024)
by: Kharyal, Chaitanya, et al.
Published: (2024)
Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
by: Chen, Xin, et al.
Published: (2026)
by: Chen, Xin, et al.
Published: (2026)
GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
by: Ruan, Zhiwen, et al.
Published: (2026)
by: Ruan, Zhiwen, et al.
Published: (2026)
Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
by: Chen, Yongrui, et al.
Published: (2023)
by: Chen, Yongrui, et al.
Published: (2023)
Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)
by: Zhang, Shengyu, et al.
Published: (2023)
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
by: Zhu, Wei, et al.
Published: (2024)
by: Zhu, Wei, et al.
Published: (2024)
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)
by: Ranaldi, Leonardo, et al.
Published: (2024)
Dynamics of Instruction Fine-Tuning for Chinese Large Language Models
by: Song, Chiyu, et al.
Published: (2023)
by: Song, Chiyu, et al.
Published: (2023)
Dual Instruction Tuning with Large Language Models for Mathematical Reasoning
by: Zhou, Yongwei, et al.
Published: (2024)
by: Zhou, Yongwei, et al.
Published: (2024)
A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas
by: Venkit, Pranav Narayanan, et al.
Published: (2025)
by: Venkit, Pranav Narayanan, et al.
Published: (2025)
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
by: Kim, Taehyeon, et al.
Published: (2023)
by: Kim, Taehyeon, et al.
Published: (2023)
Hyperparameter Optimization for Large Language Model Instruction-Tuning
by: Tribes, Christophe, et al.
Published: (2023)
by: Tribes, Christophe, et al.
Published: (2023)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
Investigating Instruction Tuning Large Language Models on Graphs
by: Zhu, Kerui, et al.
Published: (2024)
by: Zhu, Kerui, et al.
Published: (2024)
Similar Items
-
Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights
by: Joe, Elphin Tom, et al.
Published: (2024) -
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
by: Koneru, Sai, et al.
Published: (2023) -
Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
by: Koneru, Sai, et al.
Published: (2026) -
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
by: Wang, Xinyu, et al.
Published: (2026) -
The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content
by: Wang, Xinyu, et al.
Published: (2024)