Cover Image

Teaching and Evaluating LLMs to Reason About Polymer Design Related Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohanty, Dikshya, Hasan, Mohammad Saqib, Monsur, Syed Mostofa, Zheng, Size, Hsiao, Benjamin, Balasubramanian, Niranjan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Syntax Is Easy, Semantics Is Hard: Evaluating LLMs for LTL Translation
by: Danso, Priscilla Kyei, et al.
Published: (2026)

Addressing the Ecological Fallacy in Larger LMs with Human Context
by: Soni, Nikita, et al.
Published: (2026)

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks
by: Soni, Nikita, et al.
Published: (2025)

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models
by: Bijoy, Biddut Sarker, et al.
Published: (2025)

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
by: Hasan, Mohammad Saqib, et al.
Published: (2025)

MuSciClaims: Multimodal Scientific Claim Verification
by: Lal, Yash Kumar, et al.
Published: (2025)

Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
by: Karia, Rushang, et al.
Published: (2024)

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
by: Le-Cong, Thanh, et al.
Published: (2025)

Continual Learning with Global Alignment
by: Bai, Xueying, et al.
Published: (2022)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
by: Soni, Nikita, et al.
Published: (2024)

Large Human Language Models: A Need and the Challenges
by: Soni, Nikita, et al.
Published: (2023)

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
by: Akter, Syeda Nahida, et al.
Published: (2024)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine
by: Kong, Shufeng, et al.
Published: (2025)

Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024)

Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
by: Singla, Pratham, et al.
Published: (2025)

$\texttt{DIAMONDs}$: A Dataset for $\mathbb{D}$ynamic $\mathbb{I}$nformation $\mathbb{A}$nd $\mathbb{M}$ental modeling $\mathbb{O}$f $\mathbb{N}$umeric $\mathbb{D}$iscussions
by: Ghosh, Sayontan, et al.
Published: (2025)

LLMs Can Teach Themselves to Better Predict the Future
by: Turtel, Benjamin, et al.
Published: (2025)

Reasoning Models Will Sometimes Lie About Their Reasoning
by: Walden, William, et al.
Published: (2026)

XCR-Bench: A Multi-Task Benchmark for Evaluating Cultural Reasoning in LLMs
by: Kabir, Mohsinul, et al.
Published: (2026)

Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
by: Bolet, Gregory, et al.
Published: (2025)

LLMs for Relational Reasoning: How Far are We?
by: Li, Zhiming, et al.
Published: (2024)

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions
by: Murugadoss, Bhuvanashree, et al.
Published: (2024)

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
by: Wang, Tianle, et al.
Published: (2026)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
by: Ning, Xuefei, et al.
Published: (2024)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)

BanglaLorica: Design and Evaluation of a Robust Watermarking Algorithm for Large Language Models in Bangla Text Generation
by: Tariqul, Amit Bin, et al.
Published: (2026)

Zero-Shot Commonsense Validation and Reasoning with Large Language Models: An Evaluation on SemEval-2020 Task 4 Dataset
by: Alfugaha, Rawand, et al.
Published: (2025)

LLMs as On-demand Customizable Service
by: Sarkar, Souvika, et al.
Published: (2024)

Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization
by: Jin, Keyan, et al.
Published: (2025)

Reason2Decide: Rationale-Driven Multi-Task Learning
by: Hasan, H M Quamran, et al.
Published: (2025)

Frontier LLMs Still Struggle with Simple Reasoning Tasks
by: Malek, Alan, et al.
Published: (2025)

Unmasking Reasoning Processes: A Process-aware Benchmark for Evaluating Structural Mathematical Reasoning in LLMs
by: Zheng, Xiang, et al.
Published: (2026)

Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs
by: Schlatter, Jeremy, et al.
Published: (2025)

Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
by: Dutta, Abhishek, et al.
Published: (2024)

Are LLMs Ready to Replace Bangla Annotators?
by: Hasan, Md. Najib, et al.
Published: (2026)

Magis-Bench: Evaluating LLMs on Magistrate-Level Legal Tasks
by: Pires, Ramon, et al.
Published: (2026)

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition
by: Wu, Mengsong, et al.
Published: (2025)

Causal Graph based Event Reasoning using Semantic Relation Experts
by: Koupaee, Mahnaz, et al.
Published: (2025)

The Reasoning Error About Reasoning: Why Different Types of Reasoning Require Different Representational Structures
by: Wu, Yiling
Published: (2026)

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
by: Cui, Hao, et al.
Published: (2025)