Expel: Llm agents are experiential learners
The recent surge in research interest in applying large language models (LLMs) to decision-making
tasks has flourished by leveraging the extensive world knowledge embedded in …
tasks has flourished by leveraging the extensive world knowledge embedded in …
Measurement reduction in variational quantum algorithms
Variational quantum algorithms are promising applications of noisy intermediate-scale
quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-…
quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-…
Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?
Reinforcement Learning with Verifiable Rewards (RLVR) has recently demonstrated
notable success in enhancing the reasoning performance of large language models (LLMs), …
notable success in enhancing the reasoning performance of large language models (LLMs), …
Beyond the 80/20 rule: High-entropy minority tokens drive effective reinforcement learning for llm reasoning
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a powerful
approach to enhancing the reasoning capabilities of Large Language Models (LLMs), yet its …
approach to enhancing the reasoning capabilities of Large Language Models (LLMs), yet its …
Absolute zero: Reinforced self-play reasoning with zero data
Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing
the reasoning capabilities of large language models by learning directly from rule-based …
the reasoning capabilities of large language models by learning directly from rule-based …
Avalon's game of thoughts: Battle against deception through recursive contemplation
Recent breakthroughs in large language models (LLMs) have brought remarkable success
in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information …
in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information …
Fermionic partial tomography via classical shadows
We propose a tomographic protocol for estimating any k -body reduced density matrix ( k -RDM)
of an n -mode fermionic state, a ubiquitous step in near-term quantum algorithms for …
of an n -mode fermionic state, a ubiquitous step in near-term quantum algorithms for …
[HTML][HTML] Phonon gas model for thermal conductivity of dense, strongly interacting liquids
Developing predictive thermal property models for liquids based on microscopic principles
has been elusive. The difficulty is that liquids have gas-like and solid-like attributes that are at …
has been elusive. The difficulty is that liquids have gas-like and solid-like attributes that are at …
Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma
J Zhao, AX Chen, RD Gartrell, AM Silverman… - Nature medicine, 2019 - nature.com
Immune checkpoint inhibitors have been successful across several tumor types; however,
their efficacy has been uncommon and unpredictable in glioblastomas (GBM), where <10% of …
their efficacy has been uncommon and unpredictable in glioblastomas (GBM), where <10% of …
Prevalence and genetic diversity of candidate vaccine antigens among invasive Neisseria meningitidis isolates in the United States
X Wang, A Cohn, M Comanducci, L Andrew, X Zhao… - Vaccine, 2011 - Elsevier
Neisseria meningitidis (Nm) serogroups B, C and Y are the major causes of meningococcal
diseases in the United States. NmB accounts for ∼1/3 of the disease but no licensed …
diseases in the United States. NmB accounts for ∼1/3 of the disease but no licensed …