Copertina

Markovian ODE-guided scoring can assess the quality of offline reasoning traces in language models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nandi, Arghodeep, Saxena, Ojasva, Chakraborty, Tanmoy
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Listening Between the Lines: Decoding Podcast Narratives with Language Modeling
di: Gupta, Shreya, et al.
Pubblicazione: (2025)

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
di: Nandi, Arghodeep, et al.
Pubblicazione: (2025)

Exposing Long-Tail Safety Failures in Large Language Models through Efficient Diverse Response Sampling
di: Hajra, Suvadeep, et al.
Pubblicazione: (2026)

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
di: Nandi, Palash, et al.
Pubblicazione: (2025)

SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
di: Nandi, Palash, et al.
Pubblicazione: (2024)

SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection
di: Joshi, Maithili, et al.
Pubblicazione: (2025)

Code-enabled language models can outperform reasoning models on diverse tasks
di: Zhang, Cedegao E., et al.
Pubblicazione: (2025)

Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks
di: Hengle, Amey, et al.
Pubblicazione: (2025)

The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
di: M, Abhinav P, et al.
Pubblicazione: (2025)

How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning
di: Dutta, Subhabrata, et al.
Pubblicazione: (2024)

Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
di: Chatterjee, Anwoy, et al.
Pubblicazione: (2024)

Prompting language influences diagnostic reasoning and accuracy of large language models
di: Bazoge, Adrien, et al.
Pubblicazione: (2026)

Retrieval-augmented reasoning with lean language models
di: Chan, Ryan Sze-Yin, et al.
Pubblicazione: (2025)

World model inspired sarcasm reasoning with large language model agents
di: Inoshita, Keito, et al.
Pubblicazione: (2025)

Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
di: Srivastava, Aseem, et al.
Pubblicazione: (2025)

Multilingual Test-Time Scaling via Initial Thought Transfer
di: Bajpai, Prasoon, et al.
Pubblicazione: (2025)

Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues
di: Kumar, Shivani, et al.
Pubblicazione: (2024)

Evaluating language models as risk scores
di: Cruz, André F., et al.
Pubblicazione: (2024)

Decoding Memes: Benchmarking Narrative Role Classification across Multilingual and Multimodal Models
di: Sharma, Shivam, et al.
Pubblicazione: (2025)

Slm-mux: Orchestrating small language models for reasoning
di: Wang, Chenyu, et al.
Pubblicazione: (2025)

Response: Emergent analogical reasoning in large language models
di: Hodel, Damian, et al.
Pubblicazione: (2023)

MathDivide: Improved mathematical reasoning by large language models
di: Srivastava, Saksham Sahai, et al.
Pubblicazione: (2024)

Enhancing reasoning accuracy in large language models during inference time
di: Sharma, Vinay, et al.
Pubblicazione: (2026)

ZNO-Eval: Benchmarking reasoning capabilities of large language models in Ukrainian
di: Syromiatnikov, Mykyta, et al.
Pubblicazione: (2025)

Linguini: A benchmark for language-agnostic linguistic reasoning
di: Sánchez, Eduardo, et al.
Pubblicazione: (2024)

Temporal Referential Consistency: Do LLMs Favor Sequences Over Absolute Time References?
di: Bajpai, Ashutosh, et al.
Pubblicazione: (2025)

Understanding the Physics of Key-Value Cache Compression for LLMs through Attention Dynamics
di: Ananthanarayanan, Samhruth, et al.
Pubblicazione: (2026)

Multilingual LLMs Struggle to Link Orthography and Semantics in Bilingual Word Processing
di: Tanwar, Eshaan, et al.
Pubblicazione: (2025)

Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion
di: Mishra, Sahil, et al.
Pubblicazione: (2025)

The Art of Scaling Test-Time Compute for Large Language Models
di: Agarwal, Aradhye, et al.
Pubblicazione: (2025)

Information Anxiety in Large Language Models
di: Bajpai, Prasoon, et al.
Pubblicazione: (2024)

First Finish Search: Efficient Test-Time Scaling in Large Language Models
di: Agarwal, Aradhye, et al.
Pubblicazione: (2025)

Compression Laws for Large Language Models
di: Sengupta, Ayan, et al.
Pubblicazione: (2025)

Position: Enough of Scaling LLMs! Lets Focus on Downscaling
di: Goel, Yash, et al.
Pubblicazione: (2025)

Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
di: Sengupta, Ayan, et al.
Pubblicazione: (2025)

Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
di: Kumar, Aswini, et al.
Pubblicazione: (2025)

You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
di: Sengupta, Ayan, et al.
Pubblicazione: (2025)

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic
di: Zheng, Xin, et al.
Pubblicazione: (2024)

Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
di: Petersen, Molly R., et al.
Pubblicazione: (2023)

Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection
di: Masud, Sarah, et al.
Pubblicazione: (2023)