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Found 11 papers, 9 papers with code
Table as Thought: Exploring Structured Thoughts in LLM Reasoning
Large language models' reasoning abilities benefit from methods that organize their thought processes, such as chain-of-thought prompting, which employs a sequential structure to guide the reasoning process step-by-step.
ResearchTown: Simulator of Human Research Community
Our experiments reveal three key findings: (1) ResearchTown can provide a realistic simulation of collaborative research activities, including paper writing and review writing; (2) ResearchTown can maintain robust simulation with multiple researchers and diverse papers; (3) ResearchTown can generate interdisciplinary research ideas that potentially inspire novel research directions.
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
Recent advancements in artificial intelligence have led to the creation of highly capable large language models (LLMs) that can perform tasks in a human-like manner.
HEMM: Holistic Evaluation of Multimodal Foundation Models
Through comprehensive experiments across the 30 tasks in HEMM, we (1) identify key dataset dimensions (e. g., basic skills, information flows, and use cases) that pose challenges to today's models, and (2) distill performance trends regarding how different modeling dimensions (e. g., scale, pre-training data, multimodal alignment, pre-training, and instruction tuning objectives) influence performance.
SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents
Motivated by this gap, we propose an interactive learning method, SOTOPIA-$\pi$, improving the social intelligence of language agents.
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
Advances in multimodal models have greatly improved how interactions relevant to various tasks are modeled.
TRAMS: Training-free Memory Selection for Long-range Language Modeling
The Transformer architecture is crucial for numerous AI models, but it still faces challenges in long-range language modeling.
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills.
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
We present SOTOPIA, an open-ended environment to simulate complex social interactions between artificial agents and evaluate their social intelligence.
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
Open-Domain Question Answering (ODQA) systems necessitate a reader model capable of generating answers by simultaneously referring to multiple passages.
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
The current state-of-the-art ranking methods mainly use an encoding paradigm called Cross-Encoder, which separately encodes each context-candidate pair and ranks the candidates according to their fitness scores.
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