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Common Sense Reasoning

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하위 태스크: 17
평가표: 24
보존된 평가 기록: 397

Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ist-daslab/sparsegpt

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SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

https://github.com/ixa-ehu/rec-coco

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Inferring spatial relations from textual descriptions of images

https://github.com/j0hngou/LLMCWM

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Language Agents Meet Causality -- Bridging LLMs and Causal World Models

https://github.com/jianbo-maker/epd_benchmark

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Embodied Image Quality Assessment for Robotic Intelligence

https://github.com/jiazhen-code/PhD

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PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset

https://github.com/joeljang/elm

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Exploring the Benefits of Training Expert Language Models over Instruction Tuning

https://github.com/jonathanherzig/commonsenseqa

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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

https://github.com/jshilong/gpt4roi

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GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

https://github.com/juletx/self-translate

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Do Multilingual Language Models Think Better in English?

https://github.com/jvlab/simrank

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Ordinal Characterization of Similarity Judgments

https://github.com/jzbjyb/lm-calibration

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How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering

https://github.com/k-square-00/rome

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ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense

https://github.com/kaist-lklab/cot-collection

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The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

https://github.com/kaistai/cot-collection

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The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

https://github.com/karthikv792/llms-planning

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PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

https://github.com/katesanders9/grounded-events

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A Survey of Video Datasets for Grounded Event Understanding

https://github.com/kinds-of-intelligence-cfi/llm-aai

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A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment

https://github.com/kinggugu/reppad

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Repeated Padding for Sequential Recommendation

https://github.com/kini5gowda/stories

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Telling Stories for Common Sense Zero-Shot Action Recognition

https://github.com/kojima-takeshi188/zero_shot_cot

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Large Language Models are Zero-Shot Reasoners

https://github.com/koustuvsinha/clutrr

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Compositional Language Understanding with Text-based Relational Reasoning

https://github.com/laion-ai/aiw

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Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

https://github.com/lambert-x/prolab

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A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties

https://github.com/lcs2-iiitd/memex_meme_evidence

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MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization

https://github.com/lericson/datrie

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Information Gain Is Not All You Need

https://github.com/lijlansg/trafficgpt

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TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

https://github.com/linuxsino/arr

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From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation

https://github.com/livnlp/prompt_bias_suppression

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In-Contextual Gender Bias Suppression for Large Language Models

https://github.com/liyucheng09/contamination_detector

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An Open Source Data Contamination Report for Large Language Models

https://github.com/lstate/reasonx

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Declarative Reasoning on Explanations Using Constraint Logic Programming

https://github.com/lucywang720/model-surgery

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Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing

https://github.com/luka-group/paco

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PaCo: Preconditions Attributed to Commonsense Knowledge

https://github.com/luoxiaoheics/stancecs

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Exploiting Sentiment and Common Sense for Zero-shot Stance Detection

https://github.com/lyy1994/plm_as_kb

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Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

https://github.com/lzhenwen/mwp-bert

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MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

https://github.com/malihealikhani/CITE

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CITE: A Corpus of Image-Text Discourse Relations

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