[HTML][HTML] A call for transparent reporting to optimize the predictive value of preclinical research
…, MR Macleod, JM McCall, RT Moxley III, K Narasimhan… - Nature, 2012 - nature.com
The US National Institute of Neurological Disorders and Stroke convened major stakeholders
in June 2012 to discuss how to improve the methodological reporting of animal studies in …
in June 2012 to discuss how to improve the methodological reporting of animal studies in …
Deformation and fracture behaviour of plate specimens subjected to underwater explosion—a review
R Rajendran, K Narasimhan - International Journal of Impact Engineering, 2006 - Elsevier
Behaviour of plate specimens subjected to underwater explosion is of interest to metal forming
community and ship designers. The break down of the original molecule of an explosive …
community and ship designers. The break down of the original molecule of an explosive …
Hepaticoduodenostomy versus hepaticojejunostomy after resection of choledochal cyst: a systematic review and meta-analysis
SK Narayanan, Y Chen, KL Narasimhan… - Journal of Pediatric …, 2013 - Elsevier
Background Excision has been established as a standard management practice for
choledochal cysts in the last few decades. The two most commonly performed methods of …
choledochal cysts in the last few decades. The two most commonly performed methods of …
[PDF][PDF] Improving language understanding by generative pre-training
Natural language understanding comprises a wide range of diverse tasks such as textual
entailment, question answering, semantic similarity assessment, and document classification. …
entailment, question answering, semantic similarity assessment, and document classification. …
Tree of thoughts: Deliberate problem solving with large language models
… rate using best of k samples (1 ≤ k ≤ 100). To compare IO/CoT (best of k) with ToT, we …
3(a), treating IO/CoT (best of k) as visiting k nodes in a bandit. Not surprisingly, CoT scales better …
3(a), treating IO/CoT (best of k) as visiting k nodes in a bandit. Not surprisingly, CoT scales better …
React: Synergizing reasoning and acting in language models
While large language models (LLMs) have demonstrated impressive capabilities across tasks
in language understanding and interactive decision making, their abilities for reasoning (…
in language understanding and interactive decision making, their abilities for reasoning (…
Reflexion: Language agents with verbal reinforcement learning
…, A Gopinath, K Narasimhan… - Advances in …, 2024 - proceedings.neurips.cc
Large language models (LLMs) have been increasingly used to interact with external
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains challenging …
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains challenging …
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
Learning goal-directed behavior in environments with sparse feedback is a major challenge
for reinforcement learning algorithms. One of the key difficulties is insufficient exploration, …
for reinforcement learning algorithms. One of the key difficulties is insufficient exploration, …
Webshop: Towards scalable real-world web interaction with grounded language agents
Most existing benchmarks for grounding language in interactive environments either lack
realistic linguistic elements, or prove difficult to scale up due to substantial human involvement …
realistic linguistic elements, or prove difficult to scale up due to substantial human involvement …
Band Gap Tuning of CH3NH3Pb(Br1–xClx)3 Hybrid Perovskite for Blue Electroluminescence
…, SP Gopinathan, KL Narasimhan… - … applied materials & …, 2015 - ACS Publications
We report on the structural, morphological and optical properties of AB(Br 1–x Cl x ) 3 (where,
A = CH 3 NH 3 + , B = Pb 2+ and x = 0 to 1) perovskite semiconductor and their successful …
A = CH 3 NH 3 + , B = Pb 2+ and x = 0 to 1) perovskite semiconductor and their successful …