:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Kumar, Sandeep, Kamdar, Yash, Hossain, Abid, Kumari, Bharti, Saikh, Tanik, Ekbal, Asif
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2605.10171
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can Large Language Models Unlock Novel Scientific Research Ideas?
di: Kumar, Sandeep, et al.
Pubblicazione: (2024)

Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
di: Kumar, Deepak, et al.
Pubblicazione: (2026)

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
di: Joshi, Ratnesh Kumar, et al.
Pubblicazione: (2024)

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
di: Kumar, Sandeep, et al.
Pubblicazione: (2024)

Computational Politeness in Natural Language Processing: A Survey
di: Priya, Priyanshu, et al.
Pubblicazione: (2024)

EchoReview: Learning Peer Review from the Echoes of Scientific Citations
di: Zhang, Yinuo, et al.
Pubblicazione: (2026)

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
di: Panchal, Mihir, et al.
Pubblicazione: (2026)

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
di: Gain, Baban, et al.
Pubblicazione: (2026)

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
di: Bandyopadhyay, Dibyanayan, et al.
Pubblicazione: (2024)

When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection
di: Sahoo, Devanshu, et al.
Pubblicazione: (2025)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
di: Appicharla, Ramakrishna, et al.
Pubblicazione: (2025)

CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
di: Bandyopadhyay, Dibyanayan, et al.
Pubblicazione: (2025)

PeerQA: A Scientific Question Answering Dataset from Peer Reviews
di: Baumgärtner, Tim, et al.
Pubblicazione: (2025)

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
di: Priya, Priyanshu, et al.
Pubblicazione: (2025)

Quality Estimation based Feedback Training for Improving Pronoun Translation
di: Dhankhar, Harshit, et al.
Pubblicazione: (2025)

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
di: Gain, Baban, et al.
Pubblicazione: (2025)

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review
di: Weng, Yixuan, et al.
Pubblicazione: (2026)

Is Peer-Reviewing Worth the Effort?
di: Church, Kenneth, et al.
Pubblicazione: (2024)

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
di: Wang, Cheng, et al.
Pubblicazione: (2025)

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
di: Joshi, Ratnesh Kumar, et al.
Pubblicazione: (2024)

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
di: Wu, Sihong, et al.
Pubblicazione: (2026)

Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
di: Gain, Baban, et al.
Pubblicazione: (2023)

When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation
di: Sun, Bian, et al.
Pubblicazione: (2026)

PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
di: Żurawicki, Krzysztof, et al.
Pubblicazione: (2026)

ReviewRL: Towards Automated Scientific Review with RL
di: Zeng, Sihang, et al.
Pubblicazione: (2025)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
di: Yu, Sungduk, et al.
Pubblicazione: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
di: Yu, Sungduk, et al.
Pubblicazione: (2024)

M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
di: Kumari, Gitanjali, et al.
Pubblicazione: (2024)

ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
di: Sahu, Gaurav, et al.
Pubblicazione: (2025)

From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
di: Kaur, Pravneet, et al.
Pubblicazione: (2024)

Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
di: Nkhata, Gibson, et al.
Pubblicazione: (2025)

LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback
di: Li, Weiyue, et al.
Pubblicazione: (2026)

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
di: Lin, Tzu-Ling, et al.
Pubblicazione: (2025)

REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context
di: Taechoyotin, Pawin, et al.
Pubblicazione: (2026)

The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors
di: Sadallah, Abdelrahman, et al.
Pubblicazione: (2025)

Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
di: Singh, Aditi, et al.
Pubblicazione: (2024)

Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review
di: Li, Zhuochun, et al.
Pubblicazione: (2024)

PiCO: Peer Review in LLMs based on the Consistency Optimization
di: Ning, Kun-Peng, et al.
Pubblicazione: (2024)

Generative Adversarial Reviews: When LLMs Become the Critic
di: Bougie, Nicolas, et al.
Pubblicazione: (2024)

Learning Who Disagrees: Demographic Importance Weighting for Modeling Annotator Distributions with DiADEM
di: Shetty, Samay U., et al.
Pubblicazione: (2026)