Cover Image

Over-Reasoning and Redundant Calculation of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chiang, Cheng-Han, Lee, Hung-yi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge
by: Chiang, Cheng-Han, et al.
Published: (2025)

Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
by: Lin, Guan-Ting, et al.
Published: (2024)

Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations
by: Chiang, Cheng-Han, et al.
Published: (2024)

Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)

Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
by: Hsu, Tzu-wen, et al.
Published: (2025)

SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models
by: Huang, Hsiao-Ying, et al.
Published: (2026)

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models
by: Li, Chen-An, et al.
Published: (2025)

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
by: Chiang, Cheng-Han, et al.
Published: (2024)

Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
by: Kuan, Chun-Yi, et al.
Published: (2024)

Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?
by: Tam, Zhi Rui, et al.
Published: (2025)

InstructionCP: A fast approach to transfer Large Language Models into target language
by: Chen, Kuang-Ming, et al.
Published: (2024)

Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models
by: Lin, Yi-Cheng, et al.
Published: (2024)

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
by: Chiang, Cheng-Han, et al.
Published: (2025)

Causal Tracing of Audio-Text Fusion in Large Audio Language Models
by: Chen, Wei-Chih, et al.
Published: (2026)

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
by: Huang, Hsiao-Ying, et al.
Published: (2025)

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information
by: Yang, Chih-Kai, et al.
Published: (2025)

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
by: Kuan, Chun-Yi, et al.
Published: (2025)

TASTE-Streaming: Towards Streamable Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
by: Tseng, Liang-Hsuan, et al.
Published: (2026)

Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
by: Ieong, Lok-Lam, et al.
Published: (2026)

Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
by: Su, Hung-Ting, et al.
Published: (2024)

How Contrastive Decoding Enhances Large Audio Language Models?
by: Lin, Tzu-Quan, et al.
Published: (2026)

Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model
by: Fu, Yu-Kuan, et al.
Published: (2024)

Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC
by: Syu, Shen-sian, et al.
Published: (2023)

Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
by: Yang, Chih-Kai, et al.
Published: (2025)

Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
by: Lu, Ke-Han, et al.
Published: (2025)

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts
by: Chen, Yi-Chang, et al.
Published: (2026)

VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
by: Lin, Yi-Cheng, et al.
Published: (2026)

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
by: Lin, Tzu-Han, et al.
Published: (2025)

On Calibration of Large Language Models: From Response To Capability
by: Yang, Sin-Han, et al.
Published: (2026)

Audio-Aware Large Language Models as Judges for Speaking Styles
by: Chiang, Cheng-Han, et al.
Published: (2025)

OR-Bench: An Over-Refusal Benchmark for Large Language Models
by: Cui, Justin, et al.
Published: (2024)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
by: Huang, Shih-Cheng, et al.
Published: (2022)

Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models
by: Kuan, Chun-Yi, et al.
Published: (2024)

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
by: Tam, Zhi Rui, et al.
Published: (2024)

ReMedi: Reasoner for Medical Clinical Prediction
by: Cao, Yushi, et al.
Published: (2026)

DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
by: Lin, Tzu-Han, et al.
Published: (2024)

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
by: Chiang, Cheng-Han, et al.
Published: (2025)

DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
by: Lu, Ke-Han, et al.
Published: (2024)

AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models
by: Yang, Chih-Kai, et al.
Published: (2025)

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
by: Hsu, Ming-Hao, et al.
Published: (2024)