researchers have been studying approaches to steer the behavior of large language models (llms) and build personalized llms tailored for various applications. while fine-tuning seems to be a direct solution, it requires substantial computational resources and may significantly affect the utility of the original llm. recent endeavors have introduced more lightweight strategies, focusing on extracting "steering vectors" to guide the model's output toward desired behaviors by adjusting activations within specific layers of the llm's transformer architecture. however, such steering vectors are directly extracted from the activations of human preference data and thus often lead to suboptimal results and occasional failures, especially in alignment-related scenarios. this work proposes an innovative approach that could produce more effective steering vectors through bi-directional preference optimization. our method is designed to allow steering vectors to directly influence the generation probability of contrastive human preference data pairs, thereby offering a more precise representation of the target behavior. by carefully adjusting the direction and magnitude of the steering vector, we enabled personalized control over the desired behavior across a spectrum of intensities. extensive experimentation across various open-ended generation tasks, particularly focusing on steering ai personas, has validated the efficacy of our approach. moreover, we comprehensively investigate critical alignment-concerning scenarios, such as managing truthfulness, mitigating hallucination, and addressing jailbreaking attacks. remarkably, our method can still demonstrate outstanding steering effectiveness across these scenarios. furthermore, we showcase the transferability of our steering vectors across different models/loras and highlight the synergistic benefits of applying multiple vectors simultaneously.
directional preference treatment is a type of exercise that targets the specific tissues responsible for a patient's symptoms.
low back pain is usually nonspecific or mechanical. mechanical low back pain arises intrinsically from the spine, intervertebral disks, or surrounding soft tissues. clinical clues, or red flags, may help identify cases of nonmechanical low back pain and prompt further evaluation or imaging. red flags include progressive motor or sensory loss, new urinary retention or overflow incontinence, history of cancer, recent invasive spinal procedure, and significant trauma relative to age. imaging on initial presentation should be reserved for when there is suspicion for cauda equina syndrome, malignancy, fracture, or infection. plain radiography of the lumbar spine is appropriate to assess for fracture and bony abnormality, whereas magnetic resonance imaging is better for identifying the source of neurologic or soft tissue abnormalities. there are multiple treatment modalities for mechanical low back pain, but strong evidence of benefit is often lacking. moderate evidence supports the use of nonsteroidal anti-inflammatory drugs, opioids, and topiramate in the short-term treatment of mechanical low back pain. there is little or no evidence of benefit for acetaminophen, antidepressants (except duloxetine), skeletal muscle relaxants, lidocaine patches, and transcutaneous electrical nerve stimulation in the treatment of chronic low back pain. there is strong evidence for short-term effectiveness and moderate-quality evidence for long-term effectiveness of yoga in the treatment of chronic low back pain. various spinal manipulative techniques (osteopathic manipulative treatment, spinal manipulative therapy) have shown mixed benefits in the acute and chronic setting. physical therapy modalities such as the mckenzie method may decrease the recurrence of low back pain and health care expenditures. physical therapy modalities such as the mckenzie method may decrease the recurrence of low back pain and use of health care. educating patients on prognosis and incorporating psychosocial components of care such as identifying comorbid psychological problems and barriers to treatment are essential components of long-term management.
in episode 9 of season 3 of inside the science we’re highlighting the study, “a directional preference approach for chronic pelvic pain, bladder dysfunction and concurrent musculoskeletal symptoms: a case series” with ms. christine hughes. she shares specifics on the 7 pelvic related cases from thi
find out the difference between the flexion and extension bias and how a directional preference helps classify back pain.
the mckenzie method is a type of physical therapy and exercise that centralizes pain, and then focuses on self-healing techniques, including exercise.
although this systematic review showed mixed results, some evidence was found supporting the effectiveness of dpm when applied to participants with a dp, particularly at short-term and intermediate-term follow-ups. background providing specific treatment based on symptom response for people with low back pain (lbp) and a directional preference (dp) is a widely used treatment approach. the efficacy of treatment using the principles of directional preference management (dpm) for lbp is unclear. objective the purpose of this study was to determine the efficacy of treatment using the principles of dpm for people with lbp and a dp. methods computer databases were searched for randomized controlled trials (rcts) published in english up to january 2010. only rcts investigating dpm for people with lbp and a dp were included. outcomes for pain, back specific function, and work participation were extracted. results six rcts were included in this review. five were considered high quality. clinical heterogeneity of the included trials prevented meta-analysis. grade quality assessment revealed mixed results; however, moderate evidence was identified that dpm was significantly more effective than a number of comparison treatments for pain, function, and work participation at short-term, intermediate-term, and long-term follow-ups. no trials found that dpm was significantly less effective than comparison treatments. conclusions although this systematic review showed mixed results, some evidence was found supporting the effectiveness of dpm when applied to participants with a dp, particularly at short-term and intermediate-term follow-ups. further high-quality rcts are warranted to evaluate the effect of dpm applied to people with lbp and a dp.
fine-grained control over large language models (llms) remains a significant challenge, hindering their adaptability to diverse user needs. while reinforcement learning from human feedback (rlhf) shows promise in aligning llms, its reliance on scalar rewards often limits its ability to capture diverse user preferences in real-world applications. to address this limitation, we introduce the directional preference alignment (dpa) framework. unlike the scalar-reward rlhf, dpa incorporates multi-objective reward modeling to represent diverse preference profiles. additionally, dpa models user preferences as directions (i.e., unit vectors) in the reward space to achieve user-dependent preference control. our method involves training a multi-objective reward model and then fine-tuning the llm with a preference-conditioned variant of rejection sampling finetuning (rsf), an rlhf method adopted by llama 2. this method enjoys a better performance trade-off across various reward objectives. in comparison with the scalar-reward rlhf, dpa offers users intuitive control over llm generation: they can arithmetically specify their desired trade-offs (e.g., more helpfulness with less verbosity). we also validate the effectiveness of dpa with real-world alignment experiments on mistral-7b. our method provides straightforward arithmetic control over the trade-off between helpfulness and verbosity while maintaining competitive performance with strong baselines such as direct preference optimization (dpo).
by mehul j. desai, girish padmanabhan, ajai simbasivan, et al., published on 09/01/13
we are excited to announce our healthy back on-line exercise program.
woodward chiro - north dallas - how to address low back pain by using flexion directional preference exercises.
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have back pain while sitting? this may help. in this whiteboard topic of the week, dr. adam copeskey dc, cscs, goes over an exercise for extension preference...
the developing directional preferences in writing and drawing that were observed in subjects between four years of age and adulthood suggest that two semiindependent motor systems are involved in writing: one for rapid and nonfigurative tasks, the other--which occurs later--for precision and symbolic functions. (author/gt)
europe pmc is an archive of life sciences journal literature.
directional preference alignment. contribute to rlhflow/directional-preference-alignment development by creating an account on github.
introduction: the mckenzie method, also known as mechanical diagnosis and therapy (mdt), is currently one of the most well-known methods for diagnosing and treating spinal and limb pain syndromes. the study aimed to analyze the self-observations of the symptom characteristics in comparison with...
haoxiang wang, yong lin, wei xiong, rui yang, shizhe diao, shuang qiu, han zhao, tong zhang. proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: long papers). 2024.
a very cool study: directional preference in action - elevation physiotherapy & wellness - feringsteve - in a previous blog, i was mentioning the mckenzie system of mechanical diagnosis and therapy (mdt) and outlined what a “directional preference” is: the
the prevalence of neck pain is estimated at 20-70% and represents the second leading musculoskeletal cause of disability in the united states. mechanical diagnosis and therapy (mdt) is a system of musculoskeletal examination and treatment which involves an analysis of the patient’s response to end range repeated movements. the testing of end range repeated movements may determine a direction of motion that improves the person’s symptoms and/or movement and is referred to as a directional preference (dp). the deep neck flexor test (dnft) assesses neuromuscular control of the cervical spine, which is often impaired in people with neck pain. a published case study of a person with neck pain found a relationship between directional preference and improved deep neck flexor strength. the purpose of this study is to determine the correlation between dp and neuromuscular control, as measured with the dnft, in patients referred for physical therapy at the catholic health system of buffalo, ny.
direction-specific exercises can be a great option to relieve or decrease acute low back pain in patients with a directional preference
the kdt neural-flex allows prone extension directional preference positioning which takes advantage of migration patterns in posterior discs
the mckenzie method of mechanical diagnosis and therapy is a biopsychosocial system of musculoskeletal care emphasizing patient empowerment & self-treatment
find your directional preference for low back pain to identify your back's preferred movement direction for effective treatment.
published in 2016 by journal of orthopaedic and sports physical therapy. authors: knol d.,apeldoorn a.,ostelo r.,kamper s.,van helvoirt h.,meihuizen h.,tempelman h.,vandeput d.