claim

active

claim:this-is-the-first-work-to-study-cot-reasoning-in-different-modalities-in-scientific-peer-reviewed-literature

This is the first work to study CoT reasoning in different modalities in scientific peer-reviewed literature

Authors' assertion of novelty and priority; appears in contributions and Table 1.

Source paper

extracted_from

Multimodal Chain-of-Thought Reasoning in Language Models

(2023) · Zhuosheng Zhang · Aston Zhang · Mu Li · Hai Zhao +2

Neighborhood — ranked by edge-count

Communities (2)

community

Chain-of-Thought reasoning robustness & safety
members_of
CoT effects on generalization, multimodal QA accuracy, and AI safety alignment training.
Chain-of-thought reasoning across modalities
members_of
Demonstrates CoT effectiveness in multimodal contexts (vision+language) and few-shot settings, with ScienceQA as primary benchmark, circa 2023.

Frameworks (1)

framework

Multimodal-CoT
supports
A two-stage framework that separates rationale generation and answer inference by incorporating vision and language modalities.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Multimodal-CoT trained with InstructBLIP/ChatGPT-generated rationales achieves 87.76% accuracy on ScienceQA, comparable to human-annotated rationale performance of 90.45%finding0.750
Evidence that Multimodal-CoT can operate without human-annotated reasoning chains by using large models to generate pseudo-rationales.
Rahwan et al. 2019 called for a new field 'machine behavior' in which best explanations of machines combine holistic methods from ethology, social sciences, and cognitive science.finding0.749
Cited as the key precedent motivating the paper's framework
Task difficulty moderates whether CoT is performative or genuine: easy recall questions show performative CoT, difficult multihop questions show genuine reasoningclaim0.748
Task difficulty as the key variable distinguishing the two modes of CoT identified in the paper
Reasoning models generate performative CoT tokens after achieving strong confidence in their final answer without revealing this belief in textclaim0.747
The central empirical claim of the paper, supported by activation probing evidence
VS-CoT and VS-Multi push the Pareto front of the diversity-quality trade-off across creative writing tasksclaim0.747
Empirical finding from creative writing experiments showing VS variants achieve higher diversity without sacrificing quality
Compositional reasoning beyond Aristotle?question0.744
Secondary research question examining whether compositional frameworks can transcend classical logic.
These relationships are cognitive architectures regardless of the substrate in which they are implemented.claim0.744
Asserts that organismic identity is fundamentally a cognitive structure.
We take our principal contributions in this report to be: 1. Showing that the assessment of consciousness in AI is scientifically tractable ... 2. Proposing a rubric for assessing consciousness in AI ... 3. Providing initial evidence that many of the indicator properties can be implemented in AI systems using current techniques ...quote0.743
Summary of contributions.