:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	RRV, Aswin, Dineen, Jacob, Handa, Divij, Uddin, Md Nayem, Parmar, Mihir, Baral, Chitta, Zhou, Ben
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computation and Language Machine Learning
Accesso online:	https://arxiv.org/abs/2508.07616
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
di: Handa, Divij, et al.
Pubblicazione: (2025)

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models
di: RRV, Aswin, et al.
Pubblicazione: (2026)

When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers
di: Handa, Divij, et al.
Pubblicazione: (2024)

Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies
di: RRV, Aswin, et al.
Pubblicazione: (2024)

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
di: Dineen, Jacob, et al.
Pubblicazione: (2026)

PHANTOM RECALL: When Familiar Puzzles Fool Smart Models
di: Mukhopadhyay, Souradeep, et al.
Pubblicazione: (2025)

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
di: Tyagi, Nemika, et al.
Pubblicazione: (2024)

ToW: Thoughts of Words Improve Reasoning in Large Language Models
di: Xu, Zhikun, et al.
Pubblicazione: (2024)

UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
di: Uddin, Md Nayem, et al.
Pubblicazione: (2024)

Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
di: Saeidi, Amir, et al.
Pubblicazione: (2024)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
di: Parmar, Mihir, et al.
Pubblicazione: (2022)

Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
di: Saeidi, Amir, et al.
Pubblicazione: (2024)

QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA
di: Dineen, Jacob, et al.
Pubblicazione: (2025)

ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
di: Handa, Divij, et al.
Pubblicazione: (2024)

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
di: Uddin, Md Nayem, et al.
Pubblicazione: (2026)

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
di: Kumbhar, Shrinidhi, et al.
Pubblicazione: (2025)

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
di: Gupta, Himanshu, et al.
Pubblicazione: (2024)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
di: Patel, Nisarg, et al.
Pubblicazione: (2024)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
di: Luo, Man, et al.
Pubblicazione: (2023)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
di: Parmar, Mihir, et al.
Pubblicazione: (2024)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
di: Parmar, Mihir, et al.
Pubblicazione: (2025)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
di: Mishra, Venkatesh, et al.
Pubblicazione: (2025)

TarGEN: Targeted Data Generation with Large Language Models
di: Gupta, Himanshu, et al.
Pubblicazione: (2023)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
di: Parmar, Mihir, et al.
Pubblicazione: (2025)

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
di: Zhang, Zehua, et al.
Pubblicazione: (2025)

Chronocept: Instilling a Sense of Time in Machines
di: Goel, Krish, et al.
Pubblicazione: (2025)

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation
di: Liu, Qin, et al.
Pubblicazione: (2025)

SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
di: Dudeja, Divij, et al.
Pubblicazione: (2025)

Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes
di: Kenaston, Matthew W., et al.
Pubblicazione: (2025)

Asking and Answering Questions to Extract Event-Argument Structures
di: Uddin, Md Nayem, et al.
Pubblicazione: (2024)

Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
di: Uddin, Md Nayem, et al.
Pubblicazione: (2024)

OptAgent: Optimizing Query Rewriting for E-commerce via Multi-Agent Simulation
di: Handa, Divij, et al.
Pubblicazione: (2025)

BOW: Reinforcement Learning for Bottlenecked Next Word Prediction
di: Shen, Ming, et al.
Pubblicazione: (2025)

LIFT: Last-Mile Fine-Tuning for Table Explicitation
di: Khaitan, Divij, et al.
Pubblicazione: (2026)

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

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
di: Parmar, Mihir, et al.
Pubblicazione: (2024)

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
di: Yilmaz, Nilay, et al.
Pubblicazione: (2025)

Map&Make: Schema Guided Text to Table Generation
di: Ahuja, Naman, et al.
Pubblicazione: (2025)

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
di: Varshney, Neeraj, et al.
Pubblicazione: (2023)

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts
di: Saxon, Michael, et al.
Pubblicazione: (2024)